Find UC Berkeley Faculty

Name

Department

Research Expertise

Showing 1 - 25 of 30 Results

Peter

Dept of Statistics

Division of Computer Science/EECS

machine learning, statistical learning theory, adaptive control

Jennifer

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

Peng

Peng Ding

Dept of Statistics

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

Sandrine

Sandrine Dudoit

Dept of Statistics

statistics, applied statistics, data science, statistical computing, computational biology and genomics

Steven

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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

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

Will

Dept of Statistics

Theoretical and Applied Statistics

Shirshendu

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Vadim

Vadim Gorin

Dept of Mathematics

Dept of Statistics

integrable probability, random matrices, asymptotic representation theory

Adityanand

Adityanand Guntuboyina

Dept of Statistics

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

Alan

Dept of Statistics

probability, statistical mechanics, mathematical probability

Giles

Dept of Statistics

statistical computing, applications in the physical and environmental sciences, applications in biology and medicine, non-parametric inference, artificial intelligence, machine learning

Haiyan

Dept of Statistics

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

Nicholas

Nicholas Jewell

Berkeley Public Health

Dept of Statistics

AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts

Michael

Dept of Statistics

Division of Computer Science/EECS

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

Song

Song Mei

Dept of Statistics

data science, statistics, machine learning

Deborah

Dept of Statistics

statistics, empirical process, high-dimensional modeling, technology in education

Fernando

Dept of Statistics

data science, Educational Data Science, scientific computing

Sam

Dept of Statistics

causal inference, health services & policy analysis, biostatistics, discrete optimization

James

Dept of Statistics

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

Elizabeth

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

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

Yun S. Song

Dept of Statistics

Division of Computer Science/EECS

computational biology, population genomics, applied probability and statistics

Philip

Philip B. Stark

Dept of Statistics

elections, astrophysics, law, statistics, litigation, causal inference, inverse problems, geophysics, uncertainty quantification, educational technology, soil science, race and gender bias and discrimination, nonparametrics

Jacob

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning