People FacultyStein FellowsLecturers & Research ScientistsPostdocsPhD StudentsMasters StudentsStaffAlumni Main content start Faculty Search faculty by name Filter by research area - Any - active inference algorithms applied statistics astrophysics asymptotics Bayesian computation Bayesian statistics bioinformatics biostatistics bootstrap causal inference clinical trials combinatorics compressed sensing computational biology computational neuroscience computational statistics data mining data science data visualization decision theory deep learning differential geometric methods distributional robustness econometrics empirical likelihood estimation theory evolutionary genomics flow cytometry game-theoretic statistics Gaussian processes genetic mapping graphical models harmonic analysis heterogeneous data high-dimensional inference high-dimensional statistics information theory large sample theory latent variable models machine learning machine learning for health meta-analysis mixture analysis monitoring design Monte Carlo multiple hypothesis testing multivariate analysis natural language processing nonlinear multivariate analysis nonlinear regression nonparametric computer intensive methods nonparametric hypothesis testing optimization performative prediction personalized medicine phylogenetic trees population genomics post-selection inference prediction-powered inference probabilistic machine learning probability theory protein engineering public health randomized clinical trials selection bias signal processing space-time statistics statistical computing statistical genetics statistical inference statistical learning statistical machine learning statistical optimal transport statistical software statistics education statistics for the physical sciences stochastic optimization stochastic processes structured biomedical data models subsampling and resampling methods survival analysis time series trend detection Professor Emmanuel J. Candès harmonic analysishigh-dimensional statisticssignal processinginformation theory Sourav Chatterjee probability theory Amir Dembo probability theoryinformation theorystochastic processes Persi Diaconis probability theoryBayesian statisticsstatistical computingcombinatorics David Donoho harmonic analysissignal processingdeep learningcompressed sensing Bradley Efron Professor Emeritus bootstrapbiostatisticsBayesian statistics Emily B. Fox machine learningtime seriesmachine learning for healthcomputational neuroscience Jerome H. Friedman Professor Emeritus machine learningdata mining Trevor J. Hastie Professor Emeritus statistical learningmachine learningstatistical computingdata sciencebiostatistics Susan Holmes Professor Emerita phylogenetic treescomputational statisticsbootstrapnonparametric computer intensive methodsmultivariate analysisdata mining Iain Johnstone biostatisticsdecision theoryestimation theoryasymptoticssignal processing Andrea Montanari Department Chair high-dimensional statisticsmachine learningprobability theory Art B. Owen empirical likelihoodMonte Carlobioinformatics Joseph P. Romano Professor Emeritus bootstrapsubsampling and resampling methodsmultiple hypothesis testinglarge sample theoryeconometrics Chiara Sabatti Bayesian statisticscomputational biologystatistical genetics David O. Siegmund Professor Emeritus probability theorygenetic mappingnonlinear regression Paul Switzer Professor Emeritus space-time statisticstrend detectionmonitoring design Jonathan Taylor Gaussian processesstochastic processesdifferential geometric methods Robert Tibshirani statistical learningmachine learningapplied statisticsbiostatistics Guenther Walther mixture analysisflow cytometryastrophysicscomputational statistics Wing Hung Wong computational biologymultivariate analysisstatistical inferencemachine learning Associate Professor John Duchi machine learninginformation theorystochastic optimization Julia Palacios Gaussian processesgraphical modelsstatistical geneticsBayesian statisticsevolutionary genomics Dennis Sun statistical softwarestatistics educationdata sciencesignal processingpublic health Assistant Professor Scott Linderman machine learningcomputational neuroscience Dominik Rothenhäusler causal inferencedistributional robustnesshigh-dimensional statisticsgraphical modelsheterogeneous data Tselil Schramm algorithmsoptimizationmachine learningcomputational statisticshigh-dimensional statistics Brian Trippe probabilistic machine learningBayesian computationcomputational biologyprotein engineering Tijana Zrnic performative predictionprediction-powered inferenceactive inferenceselection bias Courtesy Professor Barbara Engelhardt structured biomedical data models Hua Tang statistical geneticscomputational biologypopulation genomics Lu Tian personalized medicinerandomized clinical trialssurvival analysismeta-analysis Courtesy Associate Professor Mike Baiocchi causal inference Lihua Lei multiple hypothesis testingcausal inferencehigh-dimensional statisticsoptimizationeconometrics Percy Shuo Liang machine learningnatural language processing Benjamin Nachman machine learningstatistics for the physical sciences Julia Salzman applied statisticsbioinformaticsdeep learning Stefan Wager causal inferencemachine learning Adjunct Professor John Chambers statistical computingdata sciencedata visualization Lester Mackey high-dimensional statisticsmachine learningalgorithms Jacqueline Meulman nonlinear multivariate analysis Senior Research Scientist Balasubramanian Narasimhan statistical computingbioinformaticsmachine learningclinical trials Back to Top
