Find UC Berkeley Faculty

Research Expertise and Interest

Search by keyword or research area. Use quotes for exact phrases — e.g., "computational biology".

Name

Department

Dept of Neuroscience

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

Robert S. Zucker

Dept of Molecular & Cell Biology

Dept of Neuroscience

synaptic transmission, cellular neurophysiology: synaptic biophysics, properties of neural circuits, photolysis, vital dyes of vesicle membrane, electrophysiological techniques, neuromodulator

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Dept of Psychology

A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism

Frederic Theunissen

Frederic Theunissen

Dept of Integrative Biology

Dept of Neuroscience

behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience

Dept of Neuroscience

Dept of Psychology

cognitive neuroscience, behavior, cognition, brain, attention, coordination, psychology, motor and perceptual processes in normal and neurologically impaired populations, temporal processing, executive control

Gerald Westheimer

Gerald Westheimer

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology; psychophysics, primate visual cortex, neural circuits, brain mechanisms, response modifications, active perception, learning, stereoscopic vision, optometryoptics of the eye, ophthalmic instrumentation

Fei Xu

Dept of Psychology

cognitive development, language development, learning mechanisms, statistical learning and statistical inference, conceptual development, developmental psychology, word learning, physical reasoning, social cognition in infants and children, learning in infants and young children, computational models of cognitive development, Bayesian probabilistic models, cognitive development and AI models, psychology and philosophy

Roberto Horowitz

Roberto Horowitz

Dept of Mechanical Engineering

adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems

Negar Mehr

Dept of Mechanical Engineering

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

Aditi Krishnapriyan

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

Mohammad Reza Kaazempur Mofrad is a Professor of Bioengineering and Mechanical Engineering at UC Berkeley and a Faculty Scientist at Lawrence Berkeley National Laboratory. His research integrates biomechanics, mechanobiology, artificial intelligence, and computational biology to understand how physical forces regulate biological systems across molecular, cellular, and microbial scales.

Mohammad Reza Kaazempur Mofrad

Dept of Bioengineering

Dept of Mechanical Engineering

molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine

Dan Feldman photo

Dan Feldman

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Judith P. Klinman

Dept of Chemistry

Dept of Molecular & Cell Biology

catalytic & regulatory mechanisms in enzyme-catalyzed reactions, kinetic, spectroscopic, stereochemical biological techniques, peptide- derived cofactors, nuclear tunneling & role of protein dynamics in catalysis, enzymatic activation of molecular oxygen

Dept of Psychology

learning, decision making, computational modeling, executive functions

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, deep learning

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Dept of Statistics

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

Grace Gu

Dept of Mechanical Engineering

Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials, generative AI for aerospace, soft robotics

Picture of Prof. Per-Olof Persson

Per-Olof Persson

Dept of Mathematics

numerical methods, numerical linear algebra, computational fluid and solid mechanics, mesh generation, machine learning

Michael I. Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

Alexandre Bayen

Alexandre Bayen

Division of Electrical Engineering (EECS)

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

Dept of Mechanical Engineering

mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling

Teresa Head-Gordon

Dept of Chemistry

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