Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

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

Vira Semenova

Dept of Economics

econometrics, machine learning

Jelani Nelson

Division of Computer Science (EECS)

theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

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

Sewon Min

Division of Computer Science (EECS)

natural language processing, machine learning

Peter Bickel

Dept of Statistics

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Ziad Obermeyer

School of Public Health

machine learning, medicine, health policy

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

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

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

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

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