Find UC Berkeley Faculty

Research Expertise and Interest

Use quotes to search for an exact phrase. Example: "computational biology"

Name

Department

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

David Bamman

School of Information

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

Daniel Siefman

Dept of Nuclear Engineering

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

Ryan Giordano

Dept of Statistics

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

Eva Nogales

Dept of Molecular & Cell Biology

cryo-EM, biochemistry, complex biological assemblies, structure and regulation of the cytoskeleton, microtubule dynamics, human transcriptional initiation machinery, epigenetics, gene silencing, biophysics

Alexandre Bayen

Division of Electrical Engineering (EECS)

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

Jose M. Carmena

Division of Electrical Engineering (EECS)

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

Alexei Efros

Division of Computer Science (EECS)

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

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)

Adrian Aguilera

Computational Precision Health Program

School of Social Welfare

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

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

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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Gašper Beguš

Dept of Linguistics

computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics

Homayoon Kazerooni

Dept of Mechanical Engineering

robotics, bioengineering, design, control systems, mechatronics, human-machine systems, exoskeleton systems

Jelani Nelson

Division of Computer Science (EECS)

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

Celeste Kidd

Dept of Psychology

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

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

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Evan R. Williams

Dept of Chemistry

spectroscopy, molecular structure and dynamics, analytical chemistry, biophysical chemistry, structure and reactivity of biomolecules and biomolecule/water interactions, mass spectrometry, separations, protein conformation, protein and DNA sequencing

James W. Rector

Dept of Civil and Environmental Engineering

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

Khalid M. Mosalam

Dept of Civil and Environmental Engineering

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

Jennifer Chayes

Dept of Mathematics

Dept of Statistics

Division of Computer Science (EECS)

phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change

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