People FacultyStein FellowsLecturers & Research ScientistsPostdocsPhD StudentsMasters StudentsStaffAlumni Main content start Faculty Search faculty by name Filter by research area - Any -algorithmsapplied statisticsastrophysicsasymptoticsBayesian computationBayesian statisticsbioinformaticsbiostatisticsbootstrapcausal inferencecircular RNA regulation and functionclinical trialscombinatoricscompressed sensingcomputational biologycomputational neurosciencecomputational statisticsdata miningdata sciencedata visualizationdecision theorydeep learningdifferential geometric methodsdistributional robustnesseconometricsempirical Bayes modelingempirical likelihoodestimation theoryevolutionary genomicsflow cytometryGaussian processesgenetic mappinggraphical modelsharmonic analysisheterogeneous datahigh-dimensional statisticsinformation theorylarge sample theorymachine learningmachine learning for healthmeta-analysismixture analysismonitoring designMonte Carlomultiple hypothesis testingmultivariate analysisnatural language processingnonlinear multivariate analysisnonlinear regressionnonparametric computer intensive methodsoptimizationpersonalized medicinephylogenetic treespopulation genomicsprobabilistic machine learningprobability theoryprotein engineeringpublic healthquantitative financerandomized clinical trialsRNA and DNA sequence analysisRNA splicingsignal processingspace-time statisticsstatistical computingstatistical geneticsstatistical inferencestatistical learningstatistical softwarestatistics educationstochastic optimizationstochastic processessubsampling and resampling methodssurvival analysistime seriestrend 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 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 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 Courtesy Professor Barbara Engelhardt Hua Tang statistical geneticscomputational biologypopulation genomics Lu Tian personalized medicinerandomized clinical trialssurvival analysismeta-analysis Courtesy Associate Professor Mike Baiocchi causal inference Percy Shuo Liang machine learningnatural language processing Julia Salzman circular RNA regulation and functionRNA splicingRNA and DNA sequence analysis Stefan Wager causal inferencemachine learning Courtesy Assistant Professor Lihua Lei multiple hypothesis testingcausal inferencehigh-dimensional statisticsoptimizationeconometrics 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
