Find UC Berkeley Faculty

Name

Department

Research Expertise

Active Filters

statistics

Dor Abrahamson

School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Ilan Adler

Ilan Adler

Dept of Industrial Engineering & Operations Research

mathematical programming, computational game theory, applied probability

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Anil Aswani in outside setting

Anil Aswani

Dept of Industrial Engineering & Operations Research

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

Maximilian Auffhammer

Maximilian Auffhammer

Dept of Agricultural & Resource Economics

climate change, social cost of carbon, econometrics, air pollution, environmental economics, energy economics, species conservation

Haas School of Business

behavior economics, economic analysis, Online Markets, economics, strategy

Kirk Bansak

Kirk Bansak

Dept of Political Science

causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology

Peter Barlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Peter Bickel

Dept of Statistics

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

Carl Boettiger

Dept of Environmental Science, Policy & Management

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

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

Goldman School of Public Policy

political economy, local politics, political economy or comparative political economy, local public finance, bureaucracy

Yu-Ling Chang

School of Social Welfare

Poverty and Inequality, Social Safety Net Programs, Unemployment and Labor Studies, public impact research/scholarship, community-engaged research/scholarship, research practice partnership, social justice research

Jennifer Chayes

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

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Peng Ding

Peng Ding

Dept of Statistics

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

Sandrine Dudoit

Sandrine Dudoit

School of Public Health

Dept of Statistics

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

David Eisenbud

Dept of Mathematics

mathematics, algebraic geometry, commutative algebra, computation

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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Dept of Psychology

Idiographic Science, Group-to-Individual Generalizability, Personalization, EMA, Time Series, physiology, Methods and Statistics

Will Fithian

Dept of Statistics

Theoretical and Applied Statistics

Dept of Statistics

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

Vadim Gorin

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory