Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Dept of Statistics

probability, mathematical probability, statistical mechanics

Dept of Statistics

applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

Perry de Valpine

Perry de Valpine

Dept of Environmental Science, Policy & Management

population ecology, mathematical modeling and 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

Adityanand Guntuboyina

Adityanand Guntuboyina

Dept of Statistics

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

Alan D. Weinstein

Dept of Mathematics

mathematics, mathematical physics, symplectic geometry

Dept of Economics

Dept of Mathematics

mathematics, applied mathematics, economics, mathematical economics, economic theory

Steven N. Evans

Dept of Mathematics

Dept of Statistics

large random combinatorial structures, random matrices, superprocesses & other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, population genetics, phylogenetics & historical linguistics

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Dept of Mathematics

mathematics, representation theory, integrable systems, mathematical physics

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

Dept of Statistics

Theoretical and Applied Statistics

Franziska Weber

Franziska Weber

Dept of Mathematics

applied mathematics, mathematical analysis, numerical analysis, nonlinear partial differential equations

Dept of Mathematics

mathematical logic

Dept of Mathematics

mathematics, algebraic geometry, commutative algebra, computation

Song Mei

Dept of Statistics

data science, statistics, machine learning

Sandrine Dudoit

Sandrine Dudoit

Dept of Statistics

School of Public Health

statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health

Michael Lindsey

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

Dept of Mathematics

mathematics, partial differential equations, mathematical physics, mathematical aspects of quantum mechanics, scattering theory, microlocal analysis

phoro of Jitomirskaya

Svetlana Jitomirskaya

Dept of Mathematics

mathematical analysis, probability, dynamical systems

Dept of Statistics

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

Dept of Statistics

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

Antonio Montalban

Antonio Montalban

Dept of Mathematics

mathematical logic