Xiudi Li School of Public Health causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine 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
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
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
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
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
Michael Silver Dept of Neuroscience School of Optometry cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
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
Manxi Wu Dept of Civil and Environmental Engineering game theory, multi-agent learning, transportation systems analysis
Biwen Zhang Haas School of Business capital markets, conflicts of interest, financial intermediation, machine learning
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Joshua Blumenstock School of Information machine learning, development economics, poverty and public policy, inequality and crisis
Amanda Coston Dept of Statistics causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
John Wright Division of Computer Science (EECS) quantum state learning, quantum complexity theory, property testing, approximation algorithms
Deirdre Mulligan School of Information information policy, law, privacy, security, machine learning and artificial intelligence
Xiudi Li
