Quitzé Valenzuela-Stookey Dept of Economics Mechanism Design, matching and marketing design, industrial organization, bounded rationality
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
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
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Bin Yu Dept of Statistics machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
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
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Yun S. Song Dept of Statistics Division of Computer Science (EECS) computational biology, machine learning, applied probability and statistics
Jingshen Wang School of Public Health Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Conrad Miller
Conrad Miller
Conrad Miller
