Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Division of Computer Science (EECS)

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

Dept of Statistics

fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence

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, cognitive development and AI models, psychology and philosophy

Eileen Gambrill

Eileen D. Gambrill

School of Social Welfare

social welfare, professional ethics and education, social learning theory, behavioral methods

John Wright

Division of Computer Science (EECS)

quantum state learning, quantum complexity theory, property testing, approximation algorithms

Oskar Hallatschek

Oskar Hallatschek

Dept of Physics

biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments

Dept of Psychology

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

Bin Yu

Dept of Statistics

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

Uros Seljak in 2023

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

School of Public Health

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

photographed in front of the blackboard in his office

Dan-Virgil Voiculescu

Dept of Mathematics

operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory

Dept of Film and Media

feminist theory, cultural theory, archaeology of media technology, film and modernity, film theory, psychoanalytic theory

Manxi Wu

Dept of Civil and Environmental Engineering

game theory, multi-agent learning, transportation systems analysis

Dept of Mathematics

mathematics, algebraic geometry, diophantine geometry, Nevanlinna theory, Arakelov theory

Mario Telò at a desk with books in the background

Mario Telò

Dept of Rhetoric

Greek literature, Roman drama, critical theory, continental philosophy

Prasad Raghavendra in outdoor setting

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

Ori Ganor

Dept of Physics

string (and M-) theory, quantum field theory, mathematical physics

Anil Aswani in outside setting

Anil Aswani

Dept of Industrial Engineering & Operations Research

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

Division of Computer Science (EECS)

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

Dept of Statistics

probability, mathematical probability, statistical mechanics

Ying Cui

Dept of Industrial Engineering & Operations Research

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

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

William (Bill) D. Thompson

Dept of Psychology

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks