Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Ali Kakhbod Haas School of Business financial economics, big data, machine learning, information frictions
Roberto Horowitz Dept of Mechanical Engineering adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems
Shachar Kariv Dept of Economics economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning
Anne Collins Dept of Psychology learning, decision making, computational modeling, executive functions
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
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
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
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
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
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Manxi Wu Dept of Civil and Environmental Engineering game theory, multi-agent learning, transportation systems analysis
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Mohammad Reza Kaazempur Mofrad Dept of Bioengineering Dept of Mechanical Engineering molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence