Faculty

Professor

Emmanuel J. Candès

harmonic analysis

high-dimensional statistics

signal processing

information theory

Sourav Chatterjee

probability theory

Amir Dembo

probability theory

information theory

stochastic processes

Persi Diaconis

probability theory

Bayesian statistics

statistical computing

combinatorics

David Donoho

harmonic analysis

signal processing

deep learning

compressed sensing

Bradley Efron

bootstrap

biostatistics

Bayesian statistics

Emily B. Fox

machine learning

time series

machine learning for health

computational neuroscience

Trevor J. Hastie

nonparametric regression

statistical computing

data mining

Susan Holmes

phylogenetic trees

computational statistics

bootstrap

nonparametric computer intensive methods

multivariate analysis

data mining

Iain Johnstone

biostatistics

decision theory

estimation theory

asymptotics

signal processing

Tze Leung Lai

stochastic optimization

empirical Bayes modeling

quantitative finance

multivariate analysis

time series

probability theory

stochastic processes

biostatistics

Andrea Montanari

high-dimensional statistics

mass spectrometry algorithms

graphical models

Art B. Owen

empirical likelihood

Monte Carlo

bioinformatics

Joseph P. Romano

bootstrap

subsampling and resampling methods

multiple hypothesis testing

large sample theory

econometrics

Chiara Sabatti

Bayesian statistics

computational biology

statistical genetics

David O. Siegmund

probability theory

genetic mapping

nonlinear regression

Jonathan Taylor

Department Chair

Gaussian processes

differential geometric methods

Robert Tibshirani

biostatistics

data mining

Guenther Walther

mixture analysis

flow cytometry

astrophysics

computational statistics

Wing Hung Wong

computational biology

multivariate analysis

statistical inference

machine learning

Professor Emeritus

Jerome H. Friedman

machine learning

data mining

Paul Switzer

space-time statistics

trend detection

monitoring design

Associate Professor

John Duchi

machine learning

information theory

stochastic optimization

Assistant Professor

Scott Linderman

machine learning

computational neuroscience

Tengyu Ma

machine learning

deep learning

high-dimensional statistics

optimization

Julia Palacios

Gaussian processes

graphical models

statistical genetics

Bayesian statistics

evolutionary genomics

Dominik Rothenhäusler

causal inference

distributional robustness

high-dimensional statistics

graphical models

heterogeneous data

Tselil Schramm

algorithms

optimization

machine learning

computational statistics

high-dimensional statistics

Courtesy Professor

John Ioannidis

clinical trials

meta-analysis

Hua Tang

statistical genetics

computational biology

population genomics

Lu Tian

personalized medicine

randomized clinical trials

survival analysis

meta-analysis

Courtesy Associate Professor

Percy Shuo Liang

machine learning

natural language processing

David Rogosa

statistics in behavioral sciences

longitudinal research

educational assessment

Stefan Wager

causal inference

machine learning

Courtesy Assistant Professor

Mike Baiocchi

causal inference

Adjunct Professor

John Chambers

statistical computing

data science

data visualization

Lester Mackey

high-dimensional statistics

machine learning

algorithms

Jacqueline Meulman

nonlinear multivariate analysis

Senior Research Scientist

Balasubramanian Narasimhan

statistical computing

bioinformatics

machine learning

clinical trials