Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Nika Haghtalab

Division of Computer Science (EECS)

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

Alan Hubbard

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Bin Yu

Dept of Statistics

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

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

Maya L. Petersen

School of Public Health

Computational Precision Health Program

causal inference, precision health, targeted learning, HIV, global health, pandemics

Alexei Efros

Division of Computer Science (EECS)

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

Picture of Professor Gray outside the physics department.

Heather Gray

Dept of Physics

particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)

Armando Fox

Division of Computer Science (EECS)

online education, MOOC, blended learning, parallel programming, software engineering, Web development

Irene Chen

Computational Precision Health Program

Division of Computer Science (EECS)

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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Dor Abrahamson

School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Daniel Siefman

Dept of Nuclear Engineering

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

Joseph J. Campos

Dept of Psychology

social-emotional development in infancy, emotional communication, perception of emotion, relation of motor development to cognitive and social and emotional development

Stuart J. Russell

Division of Computer Science (EECS)

artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning

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

James W. Rector

Dept of Civil and Environmental Engineering

geoarchaeology, geophysics, acoustics, Seismology, machine learning, energy, carbon capture and storage, oil and gas

Joshua Bloom

Dept of Astronomy

machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery

Khalid M. Mosalam

Dept of Civil and Environmental Engineering

bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning

Adrian Aguilera

Computational Precision Health Program

School of Social Welfare

digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science

Bethany L. Goldblum

Dept of Nuclear Engineering

applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy

Alastair Iles

Dept of Environmental Science, Policy & Management

chemicals policy and politics, sustainable food systems, environmental STS, sustainability transitions, sustainability learning and societal change

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