William (Bill) D. Thompson Dept of Psychology cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks
Michael Silver Dept of Neuroscience School of Optometry cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging
Manxi Wu Dept of Civil and Environmental Engineering game theory, multi-agent learning, transportation systems analysis
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
Eileen D. Gambrill School of Social Welfare social welfare, professional ethics and education, social learning theory, behavioral methods
Jose M. Carmena Division of Electrical Engineering (EECS) brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Alane Suhr Division of Computer Science (EECS) artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Maya L. Petersen School of Public Health Computational Precision Health Program causal inference, precision health, targeted learning, HIV, global health, pandemics
Irene Chen Computational Precision Health Program Division of Computer Science (EECS) machine learning, personalized medicine and healthcare systems, global health equity, precision health
Teresa Head-Gordon Dept of Bioengineering Dept of Chemical & Biomolecular Engineering Dept of Chemistry Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science
William (Bill) D. Thompson
William (Bill) D. Thompson
William (Bill) D. Thompson
