Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Jason Lee Dept of Statistics Division of Computer Science (EECS) machine learning theory, optimization, statistics, deep learning
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Nika Haghtalab Division of Computer Science (EECS) artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Jelani Nelson Division of Computer Science (EECS) theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, deep learning
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Diag Davenport Goldman School of Public Policy School of Information applied microeconomics, behavioral science, machine learning
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Serina Chang Division of Computer Science (EECS) machine learning, network science, human mobility, public health, graph representation learning
Celeste Kidd Dept of Psychology attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Peter Bartlett
Peter Bartlett
Peter Bartlett
