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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

Vira Semenova

Dept of Economics

econometrics, machine learning

Jason Lee

Dept of Statistics

Division of Computer Science (EECS)

machine learning theory, optimization, statistics, deep learning

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Pieter Abbeel

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, deep learning

Song Mei

Dept of Statistics

data science, statistics, machine 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

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

Ziad Obermeyer

School of Public Health

machine learning, medicine, health policy

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

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

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

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Jacob Yates

School of Optometry

computational neuroscience, vision science, machine learning and artificial intelligence

Gerbrand Ceder

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, revenue management, service system design

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

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