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

NikitaZhivotovskiy

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Shirshendu Ganguly

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Adityanand Guntuboyina

Adityanand Guntuboyina

Dept of Statistics

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

Vadim Gorin with book "Probability" by Albert Shiryaev

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory, 2d statistical mechanics, interacting particle systems, high-dimensional statistics

Dept of Statistics

probability, mathematical probability, statistical mechanics

Dept of Statistics

Theoretical and Applied Statistics

Dept of Statistics

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

Dept of Statistics

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Dept of Chemistry

theoretical chemistry

Rui Wang

Dept of Chemical & Biomolecular Engineering

theoretical polymer, soft materials, electrostatic double layer

Perry de Valpine

Perry de Valpine

Dept of Environmental Science, Policy & Management

population ecology, mathematical modeling and statistics

Dept of Environmental Science, Policy & Management

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

Dept of Integrative Biology

Dept of Statistics

evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology

Alistair Sinclair

Dept of Statistics

Division of Electrical Engineering (EECS)

algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization

Christian H. Borgs

Christian Borgs

Division of Computer Science (EECS)

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Dept of Physics

physics, theoretical condensed matter, topological phase transitions, high-temperature superconductivity, organization principles enabling microscopic degrees of freedom to behave cooperatively, matter and their formation mechanisms, low dimensional quantum magnets, strongly correlated Fermi and Bose fluids

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies

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

Thomas Courtade

Thomas Courtade

Division of Electrical Engineering (EECS)

information theory, probability, data compression, communications, computer science

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Professor Ahmad Omar sitting in front of a glass whiteboard marked with equations related to his research.

Ahmad Omar

Dept of Materials Science and Engineering

statistical mechanics, active matter, biophysics, physical chemistry, polymer science, directed self-assembly