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Name Email Unit Category
Shima Abadi

abadi@uw.edu

Environment, College of the
Oceanography
Science, Technology, Engineering & Mathematics
UW Bothell

Climate and the environment
Earth science and environmental geoscience
Ecological systems, biodiversity, and conservation
Natural sciences
Neil Abernethy

neila@uw.edu

Biomedical Informatics and Medical Education
Health Systems and Population Health
Medicine, School of
Public Health, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Health sciences
Language models and natural language processing
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Waleed Abuzeid

wabuzeid@uw.edu

Medicine, School of
Otolaryngology Head and Neck Surgery

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer vision, image analysis, and pattern recognition
Computing
Generative AI models, deep learning, and neural networks
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Negeen Aghassibake

negeena@uw.edu

Libraries

Bias, fairness, and responsible AI practices
Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Shiza Ali

shiza@uw.edu

Computing & Software Systems
Science, Technology, Engineering & Mathematics
UW Bothell

Algorithmic bias assessments, explainable AI, transparency, and validations
Computing
Generative AI models, deep learning, and neural networks
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Jarod Alper

jarod@uw.edu

Arts & Sciences, College of
Mathematics

Cognitive and neural models
Computing
Deep learning
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Language models and natural language processing
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Naomi Alterman

naomila@uw.edu

Engineering, College of
eScience Institute

Accessibility, inclusive design, and universal usability
Computer science, computer engineering, and electrical engineering
Education, personalized learning, and intelligent tutoring
Engineering
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Language, linguistics, and digital humanities
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Tim Althoff

althoff@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Communication technologies, social media, and digital interaction
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Psychology and cognitive science
Public health, population health, and health services
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Ubiquitous, pervasive, and edge computing
Payman Arabshahi

paymana@uw.edu

Electrical & Computer Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computing
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Engineering
Generative AI models, deep learning, and neural networks
Natural language processing, large language models, sentiment analysis, and conversational AI
Reinforcement learning, decision-making algorithms, and agent-based models
Ubiquitous, pervasive, and edge computing
Cecilia Aragon

aragon@uw.edu

Computer Science & Engineering
Engineering, College of
Human-Centered Design & Engineering
Information School

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Astronomy, astrophysics, and space sciences
Bias, fairness, and responsible AI practices
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Energy, infrastructure, and built environments
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Transportation systems and autonomous mobility
Aleksandr Aravkin

saravkin@uw.edu

Applied Mathematics
Arts & Sciences, College of

Aerospace, mechanical, and robotics
Climate and the environment
Climate science, modeling, and forecasting
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Health sciences
Machine learning and algorithm development
Public health, population health, and health services
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Anthony Arendt

arendta@uw.edu

Arts & Sciences, College of
Engineering, College of
eScience Institute

Climate and the environment
Climate science, modeling, and forecasting
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Earth science and environmental geoscience
Ethics, explainability, transparency, and trustworthy AI
Geospatial data analysis, remote sensing, and mapping
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural resource management and environmental policy
Natural sciences
Safety, security, and responsible AI
Hazeline Asuncion

hazeline@uw.edu

Computing & Software Systems
Science, Technology, Engineering & Mathematics
UW Bothell

Computer science, computer engineering, and electrical engineering
Computing
Cybersecurity, infrastructure protection, and data privacy
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Hardware, software, and data systems
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
P.V. (Sundar) Balakrishnan

sundar@UW.EDU

Business, School of
UW Bothell

Climate and the environment
Communication technologies, social media, and digital interaction
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ecological systems, biodiversity, and conservation
Game theory and strategic decision-making
Human behavior
Machine learning and algorithm development
Organizational dynamics and human-AI collaboration
Psychology and cognitive science
Theoretical foundations and algorithmic innovation
Rory Barnes

rkb9@uw.edu

Arts & Sciences, College of
Astronomy
Engineering, College of
eScience Institute

Astronomy, astrophysics, and space sciences
Climate and the environment
Climate science, modeling, and forecasting
Earth science and environmental geoscience
Machine learning and algorithm development
Natural sciences
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Leilani Battle

leibatt@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ethics, explainability, transparency, and trustworthy AI
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
David Beck

dacb@uw.edu

Chemical Engineering
Engineering, College of
eScience Institute

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Biomedical engineering and health technologies
Chemistry and molecular science
Climate and the environment
Climate science, modeling, and forecasting
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Ecological systems, biodiversity, and conservation
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Reinforcement learning
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Sustainability and green innovation
Theoretical foundations and algorithmic innovation
Emily Bender

ebender@uw.edu

Arts & Sciences, College of
Computer Science & Engineering
Engineering, College of
Information School
Linguistics

Bias, fairness, and responsible AI practices
Computing
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Language models and natural language processing
Language, linguistics, and digital humanities
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Ian Bennett

ibennett@uw.edu

Family Medicine
Global Health
Medicine, School of
Psychiatry and Behavioral Sciences
Public Health, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Public health, population health, and health services
Noah Benson

nben@uw.edu

Arts & Sciences, College of
Engineering, College of
eScience Institute

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Cognitive and neural models
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Psychology and cognitive science
Theoretical foundations and algorithmic innovation
Katie Bigham

bighamkt@uw.edu

Environment, College of the
Oceanography

Biology and life sciences
Climate and the environment
Computer vision, image analysis, and pattern recognition
Computing
Earth science and environmental geoscience
Ecological systems, biodiversity, and conservation
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Natural sciences
Burlyn Birkemeier

bbirkeme@uw.edu

Cooperative Institute for Climate, Ocean, and Ecosystem Studies
Environment, College of the

Climate and the environment
Ecological systems, biodiversity, and conservation
Cecilia Bitz

bitz@uw.edu

Atmospheric and Climate Science
Environment, College of the

Adaptation strategies
Astronomy, astrophysics, and space sciences
Climate and the environment
Climate science, modeling, and forecasting
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Earth science and environmental geoscience
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Natural sciences
Physics
Mac Black

macblack@uw.edu

Medicine, School of
Psychiatry and Behavioral Sciences

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Ann Bostrom

abostrom@uw.edu

Evans School of Public Policy & Governance

Bias, fairness, and responsible AI practices
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Law, policy, regulation, and AI governance
Politics, public policy, and regulatory frameworks
Safety, security, and responsible AI
Stephen Bowen

srbowen@uw.edu

Medicine, School of
Radiation Oncology
Radiology

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Patrick Boyle

pmjboyle@uw.edu

Bioengineering
Cardiology
Engineering, College of
Medicine, School of

Biomedical engineering and health technologies
Computer vision, image analysis, and pattern recognition
Computing
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Natural language processing, large language models, sentiment analysis, and conversational AI
Precision medicine, genomic medicine, and translational bioinformatics
Rovy Branon

rbranon@uw.edu

Continuum College

Art, design, and creative technologies
Education, personalized learning, and intelligent tutoring
Human behavior
Bing Brunton

bbrunton@uw.edu

Applied Mathematics
Arts & Sciences, College of
Biology
Computer Science & Engineering
Engineering, College of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Biomedical engineering and health technologies
Cognitive and neural models
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Natural sciences
Network modeling, simulation, and infrastructure analysis
Psychology and cognitive science
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Quentin Buat

qbuat@uw.edu

Arts & Sciences, College of
Physics

Algorithmic bias assessments, explainable AI, transparency, and validations
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Physics
Sam Burden

sburden@uw.edu

Electrical & Computer Engineering
Engineering, College of

Aerospace, mechanical, and robotics
Biomedical engineering and health technologies
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Game theory and strategic decision-making
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Machine learning and algorithm development
Organizational dynamics and human-AI collaboration
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Theoretical foundations and algorithmic innovation
Miruna Buta

mirunapp@uw.edu

Health Systems and Population Health
Public Health, School of

Accessibility, inclusive design, and universal usability
Ethics, explainability, transparency, and trustworthy AI
Health sciences
Public health, population health, and health services
Safety, security, and responsible AI
Zhuodi Cai

zc2525@uw.edu

Arts & Sciences, College of
Digital Arts and Experimental Media

Accessibility, inclusive design, and universal usability
Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Communication technologies, social media, and digital interaction
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Economics, finance, and workforce dynamics
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Law, policy, regulation, and AI governance
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Carlos Campos

camposca@uw.edu

Medicine, School of
Metabolism, Endocrinology & Nutrition

Algorithmic bias assessments, explainable AI, transparency, and validations
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Health sciences
Machine learning and algorithm development
Natural sciences
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Theoretical foundations and algorithmic innovation
Marco Carone

mcarone@uw.edu

Arts & Sciences, College of
Biostatistics
Public Health, School of
Statistics

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Health sciences
Machine learning and algorithm development
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Reinforcement learning
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Laura Luna Castillo

lcasti2@uw.edu

Arts & Sciences, College of
Digital Arts and Experimental Media
Engineering, College of
eScience Institute

Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Cognitive and neural models
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Language, linguistics, and digital humanities
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Surveillance, tracking, and social implications
Theoretical foundations and algorithmic innovation
Ubiquitous, pervasive, and edge computing
Mike Caulfield

mica42@uw.edu

Bothell IT
UW Bothell
UW IT

Communication technologies, social media, and digital interaction
Education, personalized learning, and intelligent tutoring
Human behavior
Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
KC Gary Chan

kcgchan@uw.edu

Biostatistics
Public Health, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Biology and life sciences
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Cognitive and neural models
Computing
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural sciences
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Vasileios Charisopoulos

vchariso@uw.edu

Electrical & Computer Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Industrial and systems engineering
Machine learning and algorithm development
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Neal Chatterjee

nchatter@uw.edu

Cardiology
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Cynthia Chen

qzchen@uw.edu

Civil & Environmental Engineering
Engineering, College of

Adaptation strategies
Algorithmic bias assessments, explainable AI, transparency, and validations
Civil, structural, and environmental engineering
Climate and the environment
Climate science, modeling, and forecasting
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Disaster preparedness, response, and risk management
Education, personalized learning, and intelligent tutoring
Energy, infrastructure, and built environments
Engineering
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Health sciences
Human behavior
Industrial and systems engineering
Logistics, supply chains, and advanced manufacturing
Mitigation strategies
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Sustainability and green innovation
Transportation systems and autonomous mobility
Urban planning and infrastructure resilience
Andrew Chen

achen20@uw.edu

Medicine, School of
Ophthalmology

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Health sciences
Shuyi Chen

shuyic@uw.edu

Atmospheric and Climate Science
Environment, College of the

Adaptation strategies
Algorithmic bias assessments, explainable AI, transparency, and validations
Climate and the environment
Climate science, modeling, and forecasting
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Earth science and environmental geoscience
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Mitigation strategies
Natural sciences
Theoretical foundations and algorithmic innovation
Urban planning and infrastructure resilience
Water resource management and optimization
Yen-Chi Chen

yenchic@uw.edu

Arts & Sciences, College of
Statistics

Astronomy, astrophysics, and space sciences
Health sciences
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural sciences
Public health, population health, and health services
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Annie Chen

atchen@uw.edu

Arts & Sciences, College of
Biomedical Informatics and Medical Education
Information School
Medicine, School of
Middle Eastern Languages and Cultures

Bias, fairness, and responsible AI practices
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Communication technologies, social media, and digital interaction
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language, linguistics, and digital humanities
Natural language processing, large language models, sentiment analysis, and conversational AI
Network modeling, simulation, and infrastructure analysis
Organizational dynamics and human-AI collaboration
Psychology and cognitive science
Public health, population health, and health services
Safety, security, and responsible AI
Donald Chi

dchi@uw.edu

Arts & Sciences, College of
Dentistry, School of
Health Systems and Population Health
Oral Health Sciences
Public Health, School of
Sociology

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Public health, population health, and health services
Theoretical foundations and algorithmic innovation
Ye Ji Choi

yejichoi@uw.edu

Medicine, School of
Metabolism, Endocrinology & Nutrition

Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Carlos Cinelli

cinelli@uw.edu

Arts & Sciences, College of
Statistics

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Cognitive and neural models
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Economics, finance, and workforce dynamics
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Politics, public policy, and regulatory frameworks
Psychology and cognitive science
Public health, population health, and health services
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Trevor Cohen

cohenta@uw.edu

Biomedical Informatics and Medical Education
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Cognitive and neural models
Computing
Generative AI models, deep learning, and neural networks
Health sciences
Language models and natural language processing
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Jacob Cooper

yankel@uw.edu

Arts & Sciences, College of
Biology

Biology and life sciences
Natural sciences
Cordero Core

cdcore@uw.edu

Engineering, College of
eScience Institute
Scientific Software Engineering Center

Aerospace, mechanical, and robotics
Astronomy, astrophysics, and space sciences
Chemistry and molecular science
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Generative AI models, deep learning, and neural networks
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Reinforcement learning, decision-making algorithms, and agent-based models
Tracking and surveillance
Ubiquitous, pervasive, and edge computing
David Corpman

Dcorpman@uw.edu

Anesthesiology & Pain Medicine
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Ethics, explainability, transparency, and trustworthy AI
Health sciences
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Nicoleta Cristea

cristn@uw.edu

Civil & Environmental Engineering
Engineering, College of
eScience Institute

Civil, structural, and environmental engineering
Climate and the environment
Climate science, modeling, and forecasting
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ecological systems, biodiversity, and conservation
Energy, infrastructure, and built environments
Engineering
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Natural resource management and environmental policy
Water resource management and optimization
Todd Dardas

tdardas@uw.edu

Medicine, Department of
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Health sciences
Marine Denolle

mdenolle@uw.edu

Earth and Space Sciences
Environment, College of the

Algorithmic bias assessments, explainable AI, transparency, and validations
Climate and the environment
Climate science, modeling, and forecasting
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Earth science and environmental geoscience
Engineering
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Mitigation strategies
Natural resource management and environmental policy
Natural sciences
Theoretical foundations and algorithmic innovation
Ubiquitous, pervasive, and edge computing
Anind Dey

anind@uw.edu

Information School

Aerospace, mechanical, and robotics
Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Communication technologies, social media, and digital interaction
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Energy, infrastructure, and built environments
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Machine learning and algorithm development
Organizational dynamics and human-AI collaboration
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Transportation systems and autonomous mobility
Ubiquitous, pervasive, and edge computing
Robert Doerning

doerning@uw.edu

Emergency Medicine
Medicine, School of

Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Safety, security, and responsible AI
Hadar Duman

hadars@uw.edu

Graduate Medical Education
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Communication technologies, social media, and digital interaction
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Law, policy, regulation, and AI governance
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Politics, public policy, and regulatory frameworks
Public health, population health, and health services
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Gregory Duncan

duncang@uw.edu

Arts & Sciences, College of
Economics

Algorithmic bias assessments, explainable AI, transparency, and validations
Communication technologies, social media, and digital interaction
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Economics, finance, and workforce dynamics
Energy, infrastructure, and built environments
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Human behavior
Law, policy, regulation, and AI governance
Logistics, supply chains, and advanced manufacturing
Machine learning and algorithm development
Network modeling, simulation, and infrastructure analysis
Organizational dynamics and human-AI collaboration
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Dale Durran

drdee@uw.edu

Atmospheric and Climate Science
Environment, College of the

Algorithmic bias assessments, explainable AI, transparency, and validations
Climate and the environment
Climate science, modeling, and forecasting
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Earth science and environmental geoscience
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Natural sciences
Theoretical foundations and algorithmic innovation
Tomas Mendez Echenagucia

tmendeze@uw.edu

Architecture
Built Environments, College of

Architectural and urban design
Civil, structural, and environmental engineering
Climate and the environment
Computing
Construction management and sustainable building
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Energy, infrastructure, and built environments
Engineering
Sustainability and green innovation
Michael Ernst

mernst@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computing
Cybersecurity, infrastructure protection, and data privacy
Hardware, software, and data systems
Safety, security, and responsible AI
Jared Erwin

erwinj@uw.edu

Biomedical Informatics and Medical Education
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Digital health, patient-centered technology, and consumer health informatics
Hardware, software, and data systems
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Leah Findlater

leahkf@uw.edu

Computer Science & Engineering
Engineering, College of
Human-Centered Design & Engineering

Accessibility, inclusive design, and universal usability
Computer science, computer engineering, and electrical engineering
Computing
Engineering
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Samuel Finlayson

sgfin@uw.edu

Medical Genetics
Medicine, School of
Pediatrics

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Law, policy, regulation, and AI governance
Natural language processing, large language models, sentiment analysis, and conversational AI
Precision medicine, genomic medicine, and translational bioinformatics
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Abraham Flaxman

abie@uw.edu

Computer Science & Engineering
Engineering, College of
Global Health
Health Metrics Sciences
Medicine, School of
Public Health, School of

Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Health sciences
Network modeling, simulation, and infrastructure analysis
Public health, population health, and health services
Christopher Fortenbach

crfort@uw.edu

Medicine, School of
Ophthalmology

Bias, fairness, and responsible AI practices
Computer vision, image analysis, and pattern recognition
Computing
Ethics, explainability, transparency, and trustworthy AI
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Jon Froehlich

jonf@cs.uw.edu

Computer Science & Engineering
Engineering, College of

Accessibility, inclusive design, and universal usability
Architectural and urban design
Art, design, and creative technologies
Computer science, computer engineering, and electrical engineering
Computing
Energy, infrastructure, and built environments
Engineering
Geospatial data analysis, remote sensing, and mapping
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Transportation systems and autonomous mobility
Ubiquitous, pervasive, and edge computing
Dan Fu

danfu@uw.edu

Arts & Sciences, College of
Chemistry

Biology and life sciences
Chemistry and molecular science
Computer vision, image analysis, and pattern recognition
Computing
Generative AI models, deep learning, and neural networks
Natural sciences
Beth Gardner

bg43@uw.edu

Environment, College of the
Environmental and Forest Sciences

Climate and the environment
Climate science, modeling, and forecasting
Ecological systems, biodiversity, and conservation
Natural resource management and environmental policy
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Corey Garza

cgarza2@uw.edu

Aquatic and Fishery Sciences
Environment, College of the

Biology and life sciences
Climate and the environment
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Earth science and environmental geoscience
Ecological systems, biodiversity, and conservation
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Natural sciences
Robotics and autonomous systems
Matthew Golub

mgolub@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Biology and life sciences
Biomedical engineering and health technologies
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Natural sciences
Network modeling, simulation, and infrastructure analysis
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Stuart Gordon

sguxd@uw.edu

Arts & Sciences, College of
Communication

Art, design, and creative technologies
Communication technologies, social media, and digital interaction
Human behavior
Alison Gray

argray@uw.edu

Environment, College of the
Oceanography

Climate and the environment
Climate science, modeling, and forecasting
Computing
Earth science and environmental geoscience
Geospatial data analysis, remote sensing, and mapping
Natural sciences
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Dan Grossman

djg7@uw.edu

Computer Science & Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computing
Cybersecurity, infrastructure protection, and data privacy
Education, personalized learning, and intelligent tutoring
Engineering
Ethics, explainability, transparency, and trustworthy AI
Hardware, software, and data systems
Human behavior
Law, policy, regulation, and AI governance
Safety, security, and responsible AI
Abhishek Gupta

abhgupta@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Engineering
Machine learning and algorithm development
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Theoretical foundations and algorithmic innovation
Steven Gustafson

sgus@uw.edu

Information School

Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Language models and natural language processing
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Gregory Hakim

ghakim@uw.edu

Atmospheric and Climate Science
Environment, College of the

Algorithmic bias assessments, explainable AI, transparency, and validations
Climate and the environment
Climate science, modeling, and forecasting
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Earth science and environmental geoscience
Generative AI models, deep learning, and neural networks
Natural sciences
Physics
Chad Hall

chadhall@uw.edu

Art + Art History + Design
Arts & Sciences, College of

Art, design, and creative technologies
Communication technologies, social media, and digital interaction
Computing
Demographic dynamics and cultural studies
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
M. Kennedy Hall

mkhall@uw.edu

Emergency Medicine
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Theoretical foundations and algorithmic innovation
Fang Han

fanghan@uw.edu

Arts & Sciences, College of
Economics
Statistics

Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Zaid Harchaoui

zaid@uw.edu

Arts & Sciences, College of
Computer Science & Engineering
Engineering, College of
Statistics

Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Andrea Hartzler

andreah@uw.edu

Biomedical Informatics and Medical Education
Medicine, School of

Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Communication technologies, social media, and digital interaction
Computing
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Safety, security, and responsible AI
Ian Haydon

ichaydon@uw.edu

Institute for Protein Design
Medicine, School of

Adaptation strategies
Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Chemistry and molecular science
Climate and the environment
Computing
Deep learning
Disaster preparedness, response, and risk management
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Law, policy, regulation, and AI governance
Natural sciences
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Sustainability and green innovation
Theoretical foundations and algorithmic innovation
Bryna Hazelton

brynah@uw.edu

Arts & Sciences, College of
Engineering, College of
eScience Institute
Physics

Algorithmic bias assessments, explainable AI, transparency, and validations
Astronomy, astrophysics, and space sciences
Bias, fairness, and responsible AI practices
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ethics, explainability, transparency, and trustworthy AI
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Misinformation, disinformation, and media literacy
Natural sciences
Physics
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Surveillance, tracking, and social implications
Theoretical foundations and algorithmic innovation
Carrie Heike

cheike@uw.edu

Medicine, School of
Pediatrics

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Kurtis Heimerl

kheimerl@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Climate and the environment
Computing
Disaster preparedness, response, and risk management
Ecological systems, biodiversity, and conservation
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Public health, population health, and health services
Safety, security, and responsible AI
Ubiquitous, pervasive, and edge computing
Joseph Hellerstein

jlheller@uw.edu

Bioengineering
Computer Science & Engineering
Engineering, College of
eScience Institute

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Network modeling, simulation, and infrastructure analysis
Scott Henderson

scottyh@uw.edu

Earth and Space Sciences
Engineering, College of
Environment, College of the
eScience Institute

Climate and the environment
Climate science, modeling, and forecasting
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Earth science and environmental geoscience
Engineering
Geospatial data analysis, remote sensing, and mapping
Hardware, software, and data systems
Natural resource management and environmental policy
Natural sciences
Michelle Hickner

mhickner@uw.edu

Engineering, College of
Mechanical Engineering

Machine learning and algorithm development
Theoretical foundations and algorithmic innovation
Jingwei Hu

hujw@uw.edu

Applied Mathematics
Arts & Sciences, College of

Aerospace, mechanical, and robotics
Computing
Engineering
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural sciences
Physics
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Shuai Huang

shuaih@uw.edu

Engineering, College of
Industrial & Systems Engineering

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Industrial and systems engineering
Machine learning and algorithm development
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Surveillance, tracking, and social implications
Theoretical foundations and algorithmic innovation
Thomas Humphries

thumphri@uw.edu

Engineering & Mathematics
Science, Technology, Engineering & Mathematics
UW Bothell

Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Mathematical methods, logic, information theory, and ontology development
Theoretical foundations and algorithmic innovation
Sarah Iribarren

sjiribar@uw.edu

Biobehavioral Nursing and Health Informatics
Nursing, School of

Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Digital health, patient-centered technology, and consumer health informatics
Ethics, explainability, transparency, and trustworthy AI
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Safety, security, and responsible AI
Aakanksha Jain

ajain90@uw.edu

Immunology
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Computer vision, image analysis, and pattern recognition
Computing
Health sciences
Machine learning and algorithm development
Theoretical foundations and algorithmic innovation
Kevin Jamieson

jamieson@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computing
Game theory and strategic decision-making
Machine learning and algorithm development
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Natasha Jaques

nj@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Bias, fairness, and responsible AI practices
Computer science, computer engineering, and electrical engineering
Computing
Deep learning
Education, personalized learning, and intelligent tutoring
Engineering
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Human behavior
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Psychology and cognitive science
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Vincent Javet

vjavet@uw.edu

Built Environments, College of
Landscape Architecture

Accessibility, inclusive design, and universal usability
Architectural and urban design
Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Climate and the environment
Computing
Construction management and sustainable building
Ecological systems, biodiversity, and conservation
Education, personalized learning, and intelligent tutoring
Energy, infrastructure, and built environments
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Geospatial data analysis, remote sensing, and mapping
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Sustainability and green innovation
Theoretical foundations and algorithmic innovation
Urban planning and infrastructure resilience
Chenara Johnson

chenara@uw.edu

Medicine, School of
Radiology

Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer vision, image analysis, and pattern recognition
Computing
Engineering
Health sciences
Human behavior
Language models and natural language processing
Law, policy, regulation, and AI governance
Machine learning and algorithm development
Organizational dynamics and human-AI collaboration
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Rizwan Kalani

rkalani@uw.edu

Medicine, School of
Neurology

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Richard Karpen

karpen@uw.edu

Arts & Sciences, College of
Digital Arts and Experimental Media

Art, design, and creative technologies
Cognitive and neural models
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Generative AI models, deep learning, and neural networks
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Machine learning and algorithm development
Organizational dynamics and human-AI collaboration
Theoretical foundations and algorithmic innovation
Baris Kasikci

baris@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computing
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Engineering
Hardware, software, and data systems
Network modeling, simulation, and infrastructure analysis
Nicholas Kassebaum

nickjk@uw.edu

Anesthesiology & Pain Medicine
Global Health
Health Metrics Sciences
Medicine, School of
Public Health, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Geospatial data analysis, remote sensing, and mapping
Health sciences
Network modeling, simulation, and infrastructure analysis
Public health, population health, and health services
Sarah Ketchley

ketchley@uw.edu

Arts & Sciences, College of
Information School
Middle Eastern Languages and Cultures

Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Natural language processing, large language models, sentiment analysis, and conversational AI
Dori Khakpour

dorik@uw.edu

Medicine, School of
Metabolism, Endocrinology & Nutrition

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Paul Kinahan

kinahan@uw.edu

Bioengineering
Engineering, College of
Medicine, School of
Radiology

Algorithmic bias assessments, explainable AI, transparency, and validations
Biomedical engineering and health technologies
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Eric Klavins

klavins@uw.edu

Bioengineering
Computer Science & Engineering
Electrical & Computer Engineering
Engineering, College of

Biomedical engineering and health technologies
Computer science, computer engineering, and electrical engineering
Computing
Engineering
Mathematical methods, logic, information theory, and ontology development
Robotics and autonomous systems
Theoretical foundations and algorithmic innovation
Amy J. Ko

ajko@uw.edu

Information School

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Computing
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Pang Wei Koh

pangwei@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computing
Deep learning
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Preetma Kooner

pkkooner@uw.edu

Anesthesiology & Pain Medicine
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Sarah Kopelovich

skopelov@uw.edu

Medicine, School of
Psychiatry and Behavioral Sciences

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Health sciences
Brian Krabak

bkrabak@uw.edu

Medicine, School of
Rehabilitation Medicine

Digital health, patient-centered technology, and consumer health informatics
Health sciences
Patricia Kramer

pakramer@uw.edu

Anthropology
Arts & Sciences, College of

Biology and life sciences
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Cognitive and neural models
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Natural sciences
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Arvind Krishnamurthy

arvind@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computing
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Network modeling, simulation, and infrastructure analysis
Adam Krynicki

adamtk@uw.edu

CoMotion

Accessibility, inclusive design, and universal usability
Communication technologies, social media, and digital interaction
Computing
Cybersecurity, infrastructure protection, and data privacy
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Law, policy, regulation, and AI governance
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Barbara Lam

blam1@uw.edu

Hematology and Oncology
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Jason Lau

jjlau@uw.edu

Medicine, School of
Pediatrics

Adaptation strategies
Climate and the environment
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Language, linguistics, and digital humanities
Mitigation strategies
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Sustainability and green innovation
Carole Lee

c3@uw.edu

Arts & Sciences, College of
Philosophy

Bias, fairness, and responsible AI practices
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Misinformation, disinformation, and media literacy
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Robert Y. Lee

rlee06@uw.edu

Medicine, School of
Pulmonary, Critical Care, & Sleep Medicine

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Health sciences
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Sanghee Lee

slee1119@uw.edu

Dentistry, School of
Orthodontics

Accessibility, inclusive design, and universal usability
Aerospace, mechanical, and robotics
Algorithmic bias assessments, explainable AI, transparency, and validations
Astronomy, astrophysics, and space sciences
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biomedical engineering and health technologies
Chemical, materials, and nanotechnology engineering
Civil, structural, and environmental engineering
Climate and the environment
Climate science, modeling, and forecasting
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Cybersecurity, infrastructure protection, and data privacy
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Demographic dynamics and cultural studies
Digital health, patient-centered technology, and consumer health informatics
Economics, finance, and workforce dynamics
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Engineering
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Industrial and systems engineering
Language models and natural language processing
Law, policy, regulation, and AI governance
Logistics, supply chains, and advanced manufacturing
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Psychology and cognitive science
Public health, population health, and health services
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Statistical learning, inference, optimization, and Bayesian Networks
Surveillance, tracking, and social implications
Sustainability and green innovation
Theoretical foundations and algorithmic innovation
Transportation systems and autonomous mobility
Michael Leu

mgl27@uw.edu

Biomedical Informatics and Medical Education
Family Medicine
Medicine, School of
Pediatrics

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Disaster preparedness, response, and risk management
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Machine learning and algorithm development
Public health, population health, and health services
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Tim Leung

timleung@uw.edu

Applied Mathematics
Arts & Sciences, College of

Climate and the environment
Deep learning
Earth science and environmental geoscience
Economics, finance, and workforce dynamics
Engineering
Game theory and strategic decision-making
Human behavior
Industrial and systems engineering
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural resource management and environmental policy
Natural sciences
Reinforcement learning
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Gina-Anne Levow

levow@uw.edu

Arts & Sciences, College of
Linguistics

Computing
Human behavior
Language models and natural language processing
Language, linguistics, and digital humanities
Natural language processing, large language models, sentiment analysis, and conversational AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Richard Lewis

rlewis88@uw.edu

Libraries
UW Bothell

Communication technologies, social media, and digital interaction
Computing
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
Chris Lewis

clewis56@uw.edu

Medicine, School of
Rehabilitation Medicine

Accessibility, inclusive design, and universal usability
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Digital health, patient-centered technology, and consumer health informatics
Ethics, explainability, transparency, and trustworthy AI
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Min Li

minli@uw.edu

Education, College of
Measurement & Statistics

Education, personalized learning, and intelligent tutoring
Human behavior
Chen Liang

cl0512@uw.edu

Biomedical Informatics and Medical Education
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Lih Y Lin

lylin@uw.edu

Electrical & Computer Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computing
Engineering
Hardware, software, and data systems
Kevin Lin

kzlin@uw.edu

Biostatistics
Public Health, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Biomedical engineering and health technologies
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Natural sciences
Precision medicine, genomic medicine, and translational bioinformatics
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Ken F Linnau

klinnau@uw.edu

Medicine, School of
Radiology

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Health sciences
Public health, population health, and health services
Gang Luo

luogang@uw.edu

Biomedical Informatics and Medical Education
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Health sciences
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Vani Mandava

vani1@uw.edu

Engineering, College of
eScience Institute

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Jennifer Mankoff

jmankoff@uw.edu

Computer Science & Engineering
Engineering, College of

Bias, fairness, and responsible AI practices
Computer science, computer engineering, and electrical engineering
Computing
Engineering
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Krithika Manohar

kmanohar@uw.edu

Engineering, College of
Mechanical Engineering

Aerospace, mechanical, and robotics
Deep learning
Engineering
Ethics, explainability, transparency, and trustworthy AI
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Colin Marshall

crmarsh@uw.edu

Arts & Sciences, College of
German Studies
Philosophy

Ethics, explainability, transparency, and trustworthy AI
Safety, security, and responsible AI
Ben Marwick

bmarwick@uw.edu

Anthropology
Arts & Sciences, College of

Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Demographic dynamics and cultural studies
Human behavior
Caren Marzban

marzban@uw.edu

Applied Physics Laboratory
Arts & Sciences, College of
Statistics

Climate and the environment
Climate science, modeling, and forecasting
Computing
Generative AI models, deep learning, and neural networks
Domenico Mastrodicasa

mastrodm@uw.edu

Medicine, School of
Radiology

Algorithmic bias assessments, explainable AI, transparency, and validations
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Precision medicine, genomic medicine, and translational bioinformatics
Reinforcement learning, decision-making algorithms, and agent-based models
Brett Maurer

bwmaurer@uw.edu

Civil & Environmental Engineering
Engineering, College of

Civil, structural, and environmental engineering
Energy, infrastructure, and built environments
Engineering
Urban planning and infrastructure resilience
Molly McCormley

mccorm5@uw.edu

Cooperative Institute for Climate, Ocean, and Ecosystem Studies
Environment, College of the

Climate and the environment
Computer vision, image analysis, and pattern recognition
Computing
Ecological systems, biodiversity, and conservation
Generative AI models, deep learning, and neural networks
Reinforcement learning, decision-making algorithms, and agent-based models
Jed McGiffin

jedm1@uw.edu

Medicine, School of
Rehabilitation Medicine

Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Human behavior
Psychology and cognitive science
Jonathan Medverd

jmed@uw.edu

Medicine, School of
Radiology

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer vision, image analysis, and pattern recognition
Computing
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Law, policy, regulation, and AI governance
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Pragya Mehta

pragym2@uw.edu

Education, College of

Communication technologies, social media, and digital interaction
Human behavior
Julianne Meisner

meisnerj@uw.edu

Global Health
Public Health, School of

Adaptation strategies
Climate and the environment
Disaster preparedness, response, and risk management
Health sciences
Public health, population health, and health services
Safety, security, and responsible AI
Darren Migita

darren.migita@seattlechildrens.org

Medicine, School of
Pediatrics

Computing
Generative AI models, deep learning, and neural networks
Dan Mikulincer

danmiku@uw.edu

Arts & Sciences, College of
Mathematics

Computing
Deep learning
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Shachi Mittal

shmittal@uw.edu

Chemical Engineering
Engineering, College of
Laboratory Medicine & Pathology
Medicine, School of

Biomedical engineering and health technologies
Chemical, materials, and nanotechnology engineering
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Machine learning and algorithm development
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Jesse Moore

moorej1@uw.edu

Bothell IT
UW Bothell
UW IT

Computer science, computer engineering, and electrical engineering
Cybersecurity, infrastructure protection, and data privacy
Engineering
Law, policy, regulation, and AI governance
Safety, security, and responsible AI
Kristi Morgansen

morgansn@uw.edu

Aeronautics & Astronautics
Engineering, College of

Aerospace, mechanical, and robotics
Cognitive and neural models
Computer vision, image analysis, and pattern recognition
Computing
Engineering
Mathematical methods, logic, information theory, and ontology development
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Theoretical foundations and algorithmic innovation
Scott Murray

somurray@uw.edu

Arts & Sciences, College of
Psychology

Cognitive and neural models
Human behavior
Psychology and cognitive science
Theoretical foundations and algorithmic innovation
Natalie Naehrig

naehrn@uw.edu

Arts & Sciences, College of
Mathematics

Mathematical methods, logic, information theory, and ontology development
Theoretical foundations and algorithmic innovation
Kenta Nakamura

nakamur@uw.edu

Medicine, Department of
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Health sciences
Paul Nghiem

Pnghiem@uw.edu

Dermatology
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Natural sciences
Precision medicine, genomic medicine, and translational bioinformatics
Kaibao Nie

niek@uw.edu

Electrical Engineering
Science, Technology, Engineering & Mathematics
UW Bothell

Biomedical engineering and health technologies
Computer science, computer engineering, and electrical engineering
Computing
Engineering
Hardware, software, and data systems
Speech processing, auditory recognition, and language technologies
William Noble

wnoble@uw.edu

Genome Sciences
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Generative AI models, deep learning, and neural networks
Health sciences
Natural sciences
Stephanie O’Daly

sodaly@uw.edu

Cooperative Institute for Climate, Ocean, and Ecosystem Studies
Environment, College of the

Algorithmic bias assessments, explainable AI, transparency, and validations
Biology and life sciences
Computer vision, image analysis, and pattern recognition
Computing
Generative AI models, deep learning, and neural networks
Natural sciences
Vikas O’Reilly-Shah

voreill@uw.edu

Anesthesiology & Pain Medicine
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Law, policy, regulation, and AI governance
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Andrew Oberst

Oberst@uw.edu

Immunology
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Health sciences
Sewoong Oh

sewoong@uw.edu

Computer Science & Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computing
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Clark Olson

cfolson@uw.edu

Computing & Software Systems
Science, Technology, Engineering & Mathematics
UW Bothell

Computer vision, image analysis, and pattern recognition
Computing
Sam Otim

sotim@uw.edu

Information School

Climate and the environment
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Disaster preparedness, response, and risk management
Economics, finance, and workforce dynamics
Education, personalized learning, and intelligent tutoring
Human behavior
Mitigation strategies
Natural language processing, large language models, sentiment analysis, and conversational AI
Safety, security, and responsible AI
Jamie Ott

jamott@uw.edu

Medicine, School of
Rehabilitation Medicine

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Public health, population health, and health services
Erin Palomera

ering44@uw.edu

Comparative Medicine
Medicine, School of

Biology and life sciences
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Disaster preparedness, response, and risk management
Engineering
Health sciences
Natural sciences
Public health, population health, and health services
Safety, security, and responsible AI
Juan Pampin

pampin@uw.edu

Arts & Sciences, College of
Digital Arts and Experimental Media

Algorithmic bias assessments, explainable AI, transparency, and validations
Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Cognitive and neural models
Communication technologies, social media, and digital interaction
Computer vision, image analysis, and pattern recognition
Computing
Deep learning
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language, linguistics, and digital humanities
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Christine Park

cjpark23@uw.edu

Law Library
Law, School of

Ethics, explainability, transparency, and trustworthy AI
Law, policy, regulation, and AI governance
Safety, security, and responsible AI
Nam-ho Park

namho@uw.edu

Information School

Art, design, and creative technologies
Human behavior
Marion Pepper

mpepper@uw.edu

Immunology
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Health sciences
Machine learning and algorithm development
Natural sciences
Precision medicine, genomic medicine, and translational bioinformatics
Theoretical foundations and algorithmic innovation
Ema Perkovic

perkovic@uw.edu

Arts & Sciences, College of
Statistics

Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Simon Peter

simpeter@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computing
Hardware, software, and data systems
Network modeling, simulation, and infrastructure analysis
Preethi Pirlamarla

ppirlama@uw.edu

Cardiology
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Caroline Pitt

pittc@uw.edu

Information School

Accessibility, inclusive design, and universal usability
Communication technologies, social media, and digital interaction
Computing
Education, personalized learning, and intelligent tutoring
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
Elisabeth Powelson

powelson@uw.edu

Anesthesiology & Pain Medicine
Medicine, School of

Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Safety, security, and responsible AI
Wanda Pratt

wpratt@uw.edu

Information School

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Communication technologies, social media, and digital interaction
Computing
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Anna Preus

apreus@uw.edu

Arts & Sciences, College of
English

Art, design, and creative technologies
Human behavior
Language, linguistics, and digital humanities
Rachel Prusynski

rachelp1@uw.edu

Health Systems and Population Health
Medicine, School of
Public Health, School of
Rehabilitation Medicine

Health sciences
Public health, population health, and health services
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Afroditi Psarra

apsarra@uw.edu

Arts & Sciences, College of
Digital Arts and Experimental Media

Art, design, and creative technologies
Human behavior
Laura Pyle

lpyle@uw.edu

Medicine, School of
Metabolism, Endocrinology & Nutrition

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Aparna Ramanathan

arama1@uw.edu

Medicine, School of
Obstetrics & Gynecology

Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Natural language processing, large language models, sentiment analysis, and conversational AI
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Maggie Ramirez

maggiera@uw.edu

Health Systems and Population Health
Public Health, School of

Accessibility, inclusive design, and universal usability
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Francois Ribalet

ribalet@uw.edu

Environment, College of the
Oceanography

Biology and life sciences
Climate and the environment
Climate science, modeling, and forecasting
Earth science and environmental geoscience
Ecological systems, biodiversity, and conservation
Natural sciences
Michael Richardson

mrich@uw.edu

Medicine, School of
Radiology

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Generative AI models, deep learning, and neural networks
Health sciences
Kenneth J Roche

k8r@uw.edu

Applied Mathematics
Arts & Sciences, College of
Physics

Computing
Deep learning
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Network modeling, simulation, and infrastructure analysis
Physics
Reinforcement learning, decision-making algorithms, and agent-based models
Theoretical foundations and algorithmic innovation
Tracking and surveillance
Ubiquitous, pervasive, and edge computing
Franziska Roesner

franzi@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Accessibility, inclusive design, and universal usability
Bias, fairness, and responsible AI practices
Computer science, computer engineering, and electrical engineering
Computing
Cybersecurity, infrastructure protection, and data privacy
Engineering
Ethics, explainability, transparency, and trustworthy AI
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Tracking and surveillance
Ariel Rokem

arokem@uw.edu

Arts & Sciences, College of
Engineering, College of
eScience Institute
Psychology

Algorithmic bias assessments, explainable AI, transparency, and validations
Biology and life sciences
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Natural sciences
Psychology and cognitive science
Gian Duri Rominger

gromin@uw.edu

Arts & Sciences, College of
Asian Languages & Literature

Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Human behavior
Language, linguistics, and digital humanities
Natural language processing, large language models, sentiment analysis, and conversational AI
Keshet Ronen

keshet@uw.edu

Global Health
Public Health, School of

Bias, fairness, and responsible AI practices
Clinical research informatics, clinical study design, and clinical trials
Communication technologies, social media, and digital interaction
Computing
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Human behavior
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Psychology and cognitive science
Public health, population health, and health services
Safety, security, and responsible AI
Joel Ross

joelross@uw.edu

Information School

Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Engineering
Human-computer interaction, user-centered design, and augmented intelligence
Sean Rundell

srundell@uw.edu

Medicine, School of
Rehabilitation Medicine

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Dinuka Sahabandu

sdinuka@uw.edu

Electrical & Computer Engineering
Engineering, College of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Cybersecurity, infrastructure protection, and data privacy
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Language models and natural language processing
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Shawon Sarkar

ss288@uw.edu

Education, College of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Education, personalized learning, and intelligent tutoring
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Lea Christine Savolainen

LCSavo@uw.edu

Arts & Sciences, College of
Biology

Accessibility, inclusive design, and universal usability
Bias, fairness, and responsible AI practices
Biology and life sciences
Misinformation, disinformation, and media literacy
Natural sciences
Safety, security, and responsible AI
Mark Scheuerell

scheuerl@uw.edu

Aquatic and Fishery Sciences
Environment, College of the

Biology and life sciences
Climate and the environment
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ecological systems, biodiversity, and conservation
Health sciences
Natural resource management and environmental policy
Natural sciences
Public health, population health, and health services
Ian Schnee

ischnee@uw.edu

Arts & Sciences, College of
Philosophy

Art, design, and creative technologies
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Psychology and cognitive science
Safety, security, and responsible AI
Nima Sedaghat

nimaseda@uw.edu

Arts & Sciences, College of
Astronomy

Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Engineering
Generative AI models, deep learning, and neural networks
Karen Segerson

kseger@uw.edu

Graduate Medical Education
Internal Medicine
Medicine, School of

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Cybersecurity, infrastructure protection, and data privacy
Digital health, patient-centered technology, and consumer health informatics
Economics, finance, and workforce dynamics
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Language models and natural language processing
Law, policy, regulation, and AI governance
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Politics, public policy, and regulatory frameworks
Public health, population health, and health services
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Chirag Shah

chirags@uw.edu

Computer Science & Engineering
Engineering, College of
Human-Centered Design & Engineering
Information School

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Cognitive and neural models
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Machine learning and algorithm development
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Eric Shea-Brown

etsb@uw.edu

Applied Mathematics
Arts & Sciences, College of
Medicine, School of
Neurobiology and Biophysics

Algorithmic bias assessments, explainable AI, transparency, and validations
Biology and life sciences
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computing
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural sciences
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
David Shean

dshean@uw.edu

Aeronautics & Astronautics
Civil & Environmental Engineering
Earth and Space Sciences
Engineering, College of
Environment, College of the

Computing
Earth science and environmental geoscience
Geospatial data analysis, remote sensing, and mapping
Natural sciences
Hua Shen

huashen@uw.edu

Information School

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Computing
Deep learning
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Yi Shen

shenyi@uw.edu

Arts & Sciences, College of
Speech & Hearing Sciences

Algorithmic bias assessments, explainable AI, transparency, and validations
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Education, personalized learning, and intelligent tutoring
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Machine learning and algorithm development
Precision medicine, genomic medicine, and translational bioinformatics
Psychology and cognitive science
Speech processing, auditory recognition, and language technologies
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Qing Shen

qs@uw.edu

Built Environments, College of
Urban Design & Planning

Bias, fairness, and responsible AI practices
Communication technologies, social media, and digital interaction
Computing
Energy, infrastructure, and built environments
Geospatial data analysis, remote sensing, and mapping
Human behavior
Safety, security, and responsible AI
Transportation systems and autonomous mobility
Urban planning and infrastructure resilience
Eli Shlizerman

shlizee@uw.edu

Applied Mathematics
Arts & Sciences, College of
Electrical & Computer Engineering
Engineering, College of

Biology and life sciences
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural sciences
Network modeling, simulation, and infrastructure analysis
Reinforcement learning
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Ubiquitous, pervasive, and edge computing
Ali Shojaie

ashojaie@uw.edu

Arts & Sciences, College of
Biostatistics
Public Health, School of
Statistics

Algorithmic bias assessments, explainable AI, transparency, and validations
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Sarita Shukla

shuklas@uw.edu

Educational Studies
UW Bothell

Education, personalized learning, and intelligent tutoring
Human behavior
Dong Si

dongsi@uw.edu

Computing & Software Systems
Science, Technology, Engineering & Mathematics
UW Bothell

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Biomedical engineering and health technologies
Chemistry and molecular science
Cognitive and neural models
Communication technologies, social media, and digital interaction
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Digital health, patient-centered technology, and consumer health informatics
Education, personalized learning, and intelligent tutoring
Engineering
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Language, linguistics, and digital humanities
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural sciences
Physics
Psychology and cognitive science
Public health, population health, and health services
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Angad Singh

apsingh@uw.edu

Biomedical Informatics and Medical Education
Family Medicine
Medicine, School of

Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Digital health, patient-centered technology, and consumer health informatics
Ethics, explainability, transparency, and trustworthy AI
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Safety, security, and responsible AI
Nancy Sisko

nsisko@uw.edu

Arts & Sciences, College of
English

Communication technologies, social media, and digital interaction
Human behavior
Language, linguistics, and digital humanities
Carey Smith

Careyc13@uw.edu

Built Environments, College of
Construction Management

Communication technologies, social media, and digital interaction
Human behavior
Nona Sotoodehnia

nsotoo@uw.edu

Cardiology
Epidemiology
Medicine, School of
Public Health, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical research informatics, clinical study design, and clinical trials
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Elizabeth Starks

eestarks@uw.edu

Education, College of
UW Bothell

Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Stefan Steinerberger

steinerb@uw.edu

Arts & Sciences, College of
Mathematics

Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Theoretical foundations and algorithmic innovation
Shane Steinert-Threlkeld

shanest@uw.edu

Arts & Sciences, College of
Linguistics

Bias, fairness, and responsible AI practices
Cognitive and neural models
Computer science, computer engineering, and electrical engineering
Computing
Deep learning
Engineering
Ethics, explainability, transparency, and trustworthy AI
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Human behavior
Language models and natural language processing
Language, linguistics, and digital humanities
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Network modeling, simulation, and infrastructure analysis
Psychology and cognitive science
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Kari Stephens

kstephen@uw.edu

Biomedical Informatics and Medical Education
Family Medicine
Medicine, School of

Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Game theory and strategic decision-making
Health sciences
Human behavior
Machine learning and algorithm development
Psychology and cognitive science
Theoretical foundations and algorithmic innovation
Michael Stiber

stiber@uw.edu

Computing & Software Systems
Science, Technology, Engineering & Mathematics
UW Bothell

Biology and life sciences
Cognitive and neural models
Computing
Cybersecurity, infrastructure protection, and data privacy
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Disaster preparedness, response, and risk management
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Machine learning and algorithm development
Natural sciences
Network modeling, simulation, and infrastructure analysis
Safety, security, and responsible AI
Theoretical foundations and algorithmic innovation
Carlos Garcia Jurado Suarez

carlosg@uw.edu

Arts & Sciences, College of
Engineering, College of
eScience Institute

Computing
Deep learning
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Theoretical foundations and algorithmic innovation
Kimberly Swensen

swensenk@uw.edu

Interdisciplinary Arts & Sciences
UW Bothell

Accessibility, inclusive design, and universal usability
Bias, fairness, and responsible AI practices
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Misinformation, disinformation, and media literacy
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Azusa Tanaka

azusat@uw.edu

Libraries

Computer vision, image analysis, and pattern recognition
Computing
Demographic dynamics and cultural studies
Geospatial data analysis, remote sensing, and mapping
Human behavior
Language, linguistics, and digital humanities
Steven Tanimoto

tanimoto@cs.washington.edu

Computer Science & Engineering
Electrical & Computer Engineering
Engineering, College of

Art, design, and creative technologies
Computer science, computer engineering, and electrical engineering
Computer vision, image analysis, and pattern recognition
Computing
Education, personalized learning, and intelligent tutoring
Engineering
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Peter Tarczy-Hornoch

pth@uw.edu

Biomedical Informatics and Medical Education
Computer Science & Engineering
Engineering, College of
Medicine, School of

Bias, fairness, and responsible AI practices
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Zachary Tatlock

ztatlock@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Art, design, and creative technologies
Computer science, computer engineering, and electrical engineering
Computing
Engineering
Hardware, software, and data systems
Human behavior
Mathematical methods, logic, information theory, and ontology development
Theoretical foundations and algorithmic innovation
Justin Tauscher

jtausch@uw.edu

Medicine, School of
Psychiatry and Behavioral Sciences

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Natural language processing, large language models, sentiment analysis, and conversational AI
Psychology and cognitive science
Mike Teodorescu

miketeod@uw.edu

Information School
UW Bothell

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Climate and the environment
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Economics, finance, and workforce dynamics
Human behavior
Law, policy, regulation, and AI governance
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Sustainability and green innovation
Geethapriya Thamilarasu

geetha@uw.edu

Computing & Software Systems
Science, Technology, Engineering & Mathematics
UW Bothell

Computing
Cybersecurity, infrastructure protection, and data privacy
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Safety, security, and responsible AI
Kyle Thayer

kmthayer@uw.edu

Information School

Accessibility, inclusive design, and universal usability
Communication technologies, social media, and digital interaction
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Education, personalized learning, and intelligent tutoring
Engineering
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Safety, security, and responsible AI
Emily Tseng

emtseng@uw.edu

Engineering, College of
Human-Centered Design & Engineering

Accessibility, inclusive design, and universal usability
Bias, fairness, and responsible AI practices
Communication technologies, social media, and digital interaction
Computer science, computer engineering, and electrical engineering
Computing
Cybersecurity, infrastructure protection, and data privacy
Digital health, patient-centered technology, and consumer health informatics
Engineering
Ethics, explainability, transparency, and trustworthy AI
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Public health, population health, and health services
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Tracking and surveillance
Alex Turner

turneraj@uw.edu

Atmospheric and Climate Science
Environment, College of the

Chemistry and molecular science
Climate and the environment
Climate science, modeling, and forecasting
Computer vision, image analysis, and pattern recognition
Computing
Earth science and environmental geoscience
Generative AI models, deep learning, and neural networks
Geospatial data analysis, remote sensing, and mapping
Mitigation strategies
Natural resource management and environmental policy
Natural sciences
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Carlos Villavicencio

carlos.villavicencio@seattlechildrens.org

Medicine, School of
Pediatrics

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Public health, population health, and health services
Mark Wainwright

mark.wainwright@seattlechildrens.org

Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Chun Wang

wang4066@uw.edu

Education, College of
Measurement & Statistics

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Computing
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Natural language processing, large language models, sentiment analysis, and conversational AI
Psychology and cognitive science
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Lucy Lu Wang

lucylw@uw.edu

Information School

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Precision medicine, genomic medicine, and translational bioinformatics
Theoretical foundations and algorithmic innovation
Gordon Watts

gwatts@uw.edu

Arts & Sciences, College of
Physics

Natural sciences
Physics
Patrick Wedgeworth

pjwedge@uw.edu

Biomedical Informatics and Medical Education
Internal Medicine
Medicine, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Generative AI models, deep learning, and neural networks
Health sciences
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Public health, population health, and health services
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Stacey Wedlake

staceyaw@uw.edu

Center for an Informed Public
Information School
Technology & Social Change Group

Misinformation, disinformation, and media literacy
Safety, security, and responsible AI
Andrew White

andwhite@uw.edu

General Internal Medicine
Medicine, Department of
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Health sciences
Heather Whiteman

iheather@uw.edu

Information School

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Computing
Cybersecurity, infrastructure protection, and data privacy
Economics, finance, and workforce dynamics
Human behavior
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Owen Williams

ojhw@uw.edu

Aeronautics & Astronautics
Engineering, College of

Aerospace, mechanical, and robotics
Climate and the environment
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Engineering
Natural sciences
Physics
Sustainability and green innovation
Amy Willis

adwillis@uw.edu

Biostatistics
Public Health, School of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Biomedical engineering and health technologies
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural sciences
Public health, population health, and health services
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Joe Wilson

joewilso@uw.edu

Graduate Medical Education
Medicine, School of

Accessibility, inclusive design, and universal usability
Algorithmic bias assessments, explainable AI, transparency, and validations
Art, design, and creative technologies
Bias, fairness, and responsible AI practices
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Communication technologies, social media, and digital interaction
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Digital health, patient-centered technology, and consumer health informatics
Economics, finance, and workforce dynamics
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Health sciences
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Misinformation, disinformation, and media literacy
Natural language processing, large language models, sentiment analysis, and conversational AI
Organizational dynamics and human-AI collaboration
Precision medicine, genomic medicine, and translational bioinformatics
Reinforcement learning, decision-making algorithms, and agent-based models
Safety, security, and responsible AI
Speech processing, auditory recognition, and language technologies
Surveillance, tracking, and social implications
Theoretical foundations and algorithmic innovation
Diana Wiseman

wisedb@uw.edu

Medicine, School of
Neurological Surgery

Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Daniela Witten

dwitten@uw.edu

Arts & Sciences, College of
Biostatistics
Public Health, School of
Statistics

Algorithmic bias assessments, explainable AI, transparency, and validations
Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Generative AI models, deep learning, and neural networks
Health sciences
Machine learning and algorithm development
Natural sciences
Network modeling, simulation, and infrastructure analysis
Precision medicine, genomic medicine, and translational bioinformatics
Reinforcement learning, decision-making algorithms, and agent-based models
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Spencer Wood

spwood@uw.edu

Engineering, College of
Environment, College of the
Environmental and Forest Sciences
eScience Institute

Biology and life sciences
Climate and the environment
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Ecological systems, biodiversity, and conservation
Geospatial data analysis, remote sensing, and mapping
Natural language processing, large language models, sentiment analysis, and conversational AI
Natural resource management and environmental policy
Natural sciences
Network modeling, simulation, and infrastructure analysis
Sustainability and green innovation
Richard Wright

rawright@uw.edu

Arts & Sciences, College of
Linguistics
Speech & Hearing Sciences

Computing
Human behavior
Language models and natural language processing
Language, linguistics, and digital humanities
Natural language processing, large language models, sentiment analysis, and conversational AI
Psychology and cognitive science
Speech processing, auditory recognition, and language technologies
Theoretical foundations and algorithmic innovation
Chi-wang Yang

cyang99@uw.edu

Arts & Sciences, College of
Drama

Art, design, and creative technologies
Human behavior
Azadeh Yazdan-Shahmorad

azadehy@uw.edu

Bioengineering
Electrical & Computer Engineering
Engineering, College of
Public Health, School of
Washington National Primate Research Center

Biology and life sciences
Biomedical engineering and health technologies
Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Computer science, computer engineering, and electrical engineering
Engineering
Health sciences
Natural sciences
Ting Ye

tingye1@uw.edu

Biostatistics
Public Health, School of

Clinical research informatics, clinical study design, and clinical trials
Computing
Generative AI models, deep learning, and neural networks
Health sciences
Precision medicine, genomic medicine, and translational bioinformatics
Public health, population health, and health services
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Meliha Yetisgen

melihay@uw.edu

Biomedical Informatics and Medical Education
Medicine, School of

Clinical informatics, clinical decision support, imaging, pathology, laboratory medicine, telemedicine, and remote monitoring
Clinical research informatics, clinical study design, and clinical trials
Digital health, patient-centered technology, and consumer health informatics
Health sciences
Language models and natural language processing
Theoretical foundations and algorithmic innovation
Jason Yip

jcyip@uw.edu

Information School

Communication technologies, social media, and digital interaction
Computing
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Psychology and cognitive science
Safety, security, and responsible AI
Sae saem Yoon

ssyoon@uw.edu

Education
UW Tacoma

Adaptation strategies
Bias, fairness, and responsible AI practices
Climate and the environment
Education, personalized learning, and intelligent tutoring
Human behavior
Language, linguistics, and digital humanities
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Autumn York

AGYork@UW.edu

Immunology
Medicine, School of

Bioinformatics, computational biology, genomics, protein folding, drug design, drug discovery, and pharmacoinformatics
Biology and life sciences
Chemistry and molecular science
Health sciences
Natural sciences
Precision medicine, genomic medicine, and translational bioinformatics
Jeremy Zaretzky

jeremyz@uw.edu

Information School

Accessibility, inclusive design, and universal usability
Bias, fairness, and responsible AI practices
Communication technologies, social media, and digital interaction
Computing
Cybersecurity, infrastructure protection, and data privacy
Economics, finance, and workforce dynamics
Education, personalized learning, and intelligent tutoring
Ethics, explainability, transparency, and trustworthy AI
Hardware, software, and data systems
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Law, policy, regulation, and AI governance
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Luke Zettlemoyer

lsz@cs.washington.edu

Computer Science & Engineering
Engineering, College of

Computing
Deep learning
Generative AI models, deep learning, and neural networks
Language models and natural language processing
Machine learning and algorithm development
Natural language processing, large language models, sentiment analysis, and conversational AI
Theoretical foundations and algorithmic innovation
Amy Zhang

axz@cs.uw.edu

Computer Science & Engineering
Engineering, College of

Algorithmic bias assessments, explainable AI, transparency, and validations
Bias, fairness, and responsible AI practices
Communication technologies, social media, and digital interaction
Computing
Ethics, explainability, transparency, and trustworthy AI
Human behavior
Human-computer interaction, user-centered design, and augmented intelligence
Misinformation, disinformation, and media literacy
Organizational dynamics and human-AI collaboration
Safety, security, and responsible AI
Surveillance, tracking, and social implications
Baosen Zhang

zhangbao@uw.edu

Electrical & Computer Engineering
Engineering, College of

Climate and the environment
Computer science, computer engineering, and electrical engineering
Computing
Energy systems, renewable technologies, and smart grids
Energy, infrastructure, and built environments
Engineering
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Reinforcement learning, decision-making algorithms, and agent-based models
Sustainability and green innovation
Theoretical foundations and algorithmic innovation
Yulei Zhang

zyl94@uw.edu

Arts & Sciences, College of
Physics

Computing
Generative AI models, deep learning, and neural networks
Natural sciences
Network modeling, simulation, and infrastructure analysis
Physics
Christina Zhao

zhaotc@uw.edu

Arts & Sciences, College of
I-LABS
Linguistics
Psychology
Speech & Hearing Sciences

Computing
Human behavior
Language, linguistics, and digital humanities
Psychology and cognitive science
Speech processing, auditory recognition, and language technologies
Yongdong (Dan) Zhao

Yongdong.zhao@seattlechildrens.org

Medicine, School of
Pediatrics

Computer vision, image analysis, and pattern recognition
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Generative AI models, deep learning, and neural networks
Banghua Zhu

banghua@uw.edu

Computer Science & Engineering
Electrical & Computer Engineering
Engineering, College of

Computer science, computer engineering, and electrical engineering
Computing
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Deep learning
Engineering
Game theory and strategic decision-making
Generative AI models, deep learning, and neural networks
Hardware, software, and data systems
Human-computer interaction, user-centered design, and augmented intelligence
Language models and natural language processing
Machine learning and algorithm development
Mathematical methods, logic, information theory, and ontology development
Natural language processing, large language models, sentiment analysis, and conversational AI
Reinforcement learning
Reinforcement learning, decision-making algorithms, and agent-based models
Robotics and autonomous systems
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation
Eric Zivot

ezivot@uw.edu

Arts & Sciences, College of
Economics

Climate and the environment
Climate science, modeling, and forecasting
Computing
Cybersecurity, infrastructure protection, and data privacy
Data science, predictive and prescriptive analytics, recommendation systems, and visualization
Safety, security, and responsible AI
Statistical learning, inference, optimization, and Bayesian Networks
Theoretical foundations and algorithmic innovation