Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Timothy McQuade

Haas School of Business

design of optimal mortgage debt instruments, real estate economics, Affordable housing, household finance, rent control

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

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

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

Jasper Rine

Dept of Molecular & Cell Biology

biology, cell biology, DNA replication, gene regulation, saccharomyces cerevisiae, genetic analysis, genome, cholesterol biosynthetic pathway, modification of proteins, prenylated proteins

Biwen Zhang

Haas School of Business

capital markets, conflicts of interest, financial intermediation, 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

Bin Yu

Dept of Statistics

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

Joshua Blumenstock

School of Information

machine learning, development economics, poverty and public policy, inequality and crisis

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Amanda Coston

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Professor Lewis: A young smiling woman wearing glasses in a blue, collared shirt.

Samantha Lewis

Dept of Molecular & Cell Biology

mitochondrial biogenesis, mitochondrial genome inheritance, organelle assembly, DNA replication, cell metabolism, interactions between membrane-bound organelles

Jingshen Wang

School of Public Health

precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence

Negar Mehr

Dept of Mechanical Engineering

robotics, control theory, artificial intelligence, game theory, machine learning

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

Irene Chen

Computational Precision Health Program

Division of Computer Science (EECS)

machine learning, personalized medicine and healthcare systems, global health equity, precision health

Nika Haghtalab

Division of Computer Science (EECS)

artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design

Alane Suhr

Division of Computer Science (EECS)

artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

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