Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Anil Aswani

Dept of Industrial Engineering & Operations Research

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

Joseph M. Hellerstein

Division of Computer Science (EECS)

computer science, database systems, distributed systems

Negar Mehr

Dept of Mechanical Engineering

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

Joshua Blumenstock

School of Information

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

Amanda Coston

Dept of Statistics

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

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Deirdre Mulligan

School of Information

information policy, law, privacy, security, machine learning and artificial intelligence

Lin Lin

Dept of Mathematics

applied mathematics, Quantum Chemistry, quantum computation, Scientific machine learning

Michael DeWeese

Dept of Neuroscience

Dept of Physics

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

Teresa Head-Gordon

Dept of Bioengineering

Dept of Chemical & Biomolecular Engineering

Dept of Chemistry

Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science

Jingshen Wang

School of Public Health

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

Irene Chen

Computational Precision Health Program

Division of Computer Science (EECS)

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

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

Bin Yu

Dept of Statistics

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

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

Anthony D. Joseph

Division of Computer Science (EECS)

internet security, mobile/distributed computing, wireless communications, networking and telephony

Alexei Efros

Division of Computer Science (EECS)

computer vision, computer graphics, computational photography, machine learning, artificial intelligence

Alexandre Bayen

Division of Electrical Engineering (EECS)

control, optimization, machine learning, applications: transportation; mobile sensing; connected health

Ryan Giordano

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Ying Cui

Dept of Industrial Engineering & Operations Research

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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences

Daniel Siefman

Dept of Nuclear Engineering

neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry

Jelani Nelson

Division of Computer Science (EECS)

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

David Bamman

School of Information

natural language processing, machine learning, digital humanities, computational social science, data science

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