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Professor
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Professor
Emmanuel J. Candès
Department Chair
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
data visualization
signal processing
Bradley Efron
bootstrap
biostatistics
Bayesian statistics
Trevor J. Hastie
nonparametric regression
statistical computing
data mining
Susan Holmes
on sabbatical
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
on sabbatical
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
Gaussian processes
differential geometric methods
Robert Tibshirani
biostatistics
data mining
Guenther Walther
Associate Chair
mixture analysis
flow cytometry
astrophysics
computational statistics
Wing Hung Wong
computational biology
multivariate analysis
statistical inference
machine learning
Assistant Professor
John Duchi
machine learning
information theory
stochastic optimization
Julia Palacios
Gaussian processes
graphical models
statistical genetics
Bayesian statistics
evolutionary genomics
Courtesy Professor
John Ioannidis
clinical trials
meta-analysis
Hua Tang
statistical genetics
computational biology
population genomics
Courtesy Associate Professor
David Rogosa
statistics in behavioral sciences
longitudinal research
educational assessment
Lu Tian
personalized medicine
randomized clinical trials
survival analysis
meta-analysis
Courtesy Assistant Professor
Mike Baiocchi
causal inference
Percy Shuo Liang
machine learning
natural language processing
Stefan Wager
causal inference
machine learning
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
microarray analysis
bioinformatics
Emeritus
Jerome H. Friedman
machine learning
data mining
Paul Switzer
space-time statistics
trend detection
monitoring design
Courtesy Emeritus
Richard A. Olshen
biostatistics
tree-structured methods
