Peter Bartlett Dept of Statistics Division of Computer Science/EECS machine learning, statistical learning theory, adaptive control
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 Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Sandrine Dudoit Dept of Statistics statistics, applied statistics, data science, statistical computing, computational biology and genomics
Steven 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
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Giles Hooker 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 Huang Dept of Statistics applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
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 Jordan Dept of Statistics Division of Computer Science/EECS computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Deborah Nolan Dept of Statistics statistics, empirical process, high-dimensional modeling, technology in education
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
James Pitman 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 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 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