Joni Wallis Dept of Neuroscience prefrontal cortex, neurophysiology, executive control, decision making
Gašper Beguš Dept of Linguistics computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Lin Lin Dept of Mathematics applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning
Michael Silver Dept of Neuroscience School of Optometry cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging
Anne E. Cunningham School of Education education, literacy, reading development, children and technology, teacher professional development
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Ellen Evers Haas School of Business moral psychology, collecting, judgment and decision making, pattern perception
Laura Kray Haas School of Business gender, negotiations, stereotypes, decision making, mindsets, motivated cognition
Liz Gálvez Dept of Architecture design, architecture and environment, materials, heating and cooling, building technologies, sustainable design
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
Maya L. Petersen School of Public Health Computational Precision Health Program causal inference, precision health, targeted learning, HIV, global health, pandemics
Alexei Efros Division of Computer Science (EECS) computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Shachar Kariv Dept of Economics economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning
Mohammad Reza Kaazempur Mofrad Dept of Bioengineering Dept of Mechanical Engineering molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Jose M. Carmena Division of Electrical Engineering (EECS) brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control
Eileen D. Gambrill School of Social Welfare social welfare, professional ethics and education, social learning theory, behavioral methods
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Amitai Shenhav Dept of Psychology cognitive neuroscience, motivation, decision-making, executive functions, computational modeling
Avi Feller Dept of Statistics Goldman School of Public Policy applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences