Major Research Interests of Faculty

Statistics Department faculty and their major research interests are listed below. For those faculty holding joint appointments, the programs (in addition to Statistics) in which they hold their joint appointment are also listed. Links to individual faculty pages are available by referring to the Faculty Directory.

David Anderson
Affiliate, Mathematics Department
Developing and analyzing new computational methods for the stochastic models that arise in the biosciences; theoretical study of the mathematical models arising in the biosciences

Cecile Ane
Statistics / Botany Department
Statistical inference for evolutionary biology, Computational Biology

Doug Bates
Emeritus
Nonlinear Regression, Statistical Computing

Karl Broman
Affiliate, Biostatistics & Medical Informatics Department
Statistical genomics, computational biology, statistical computing, data visualization, general applied statistics

Rick Chappell
Statistics / Biostatistics & Medical Informatics Department
Clinical Trials, linear models, survival analysis

Moo Chung
Affiliate, Biostatistics & Medical Informatics Department
Computational Neuro-Anatomy, Random Fields, Image Analysis, Functional Data Analysis

Murray Clayton
Statistics / Plant Pathology (CALS)
Applications of statistics to the agricultural, biological, and environmental sciences; spatial statistics, foundations

Dave Demets
Affiliate, Biostatistics & Medical Informatics Department
Clinical trials, Epidemiology, Sequential analysis

Kjell Doksum
Senior Research Scientist
Nonparametric regression, biostatistics, high dimensional data analysis

Norman Draper
Emeritus
Experimental Design, Linear Models, Nonlinear Estimation

Ronald Gangnon
Affiliate, Biostatistics & Medical Informatics Department
Clustering, model selection, order-restricted inference, measurement reliability, survival analysis and interim monitoring

Bret Hanlon
Inference for Branching Processes, High Dimensional Data Analysis, Variable Selection, Biological Applications

Richard Johnson
Emeritus
Life Testing and Reliability, Statistical Inference, Large Sample Theory, Applied Multivariate Analysis

Hyunseung Kang
Causal inference, instrumental variables, and econometrics, developing methods for causal inference using large observational data with applications to epidemiology, genetics, social policy evaluation, and online data

Sunduz Keles
Statistics / Biostatistics & Medical Informatics Department
Biostatistics, statistical genomics & computational biology, censored data analysis

Christina Kendziorski Newton
Affiliate, Biostatistics & Medical Informatics Department
Statistical genetics and computational biology, Bayes and empirical Bayes methods

KyungMann Kim
Affiliate, Biostatistics & Medical Informatics Department
Sequential methods, clustered data analysis, categorical data analysis, biostatistics, clinical trials methods,
epidemiology methods

Bret Larget
Statistics / Botany Department
Statistical applications in biology, computational biology, phylogenetics

Mary Lindstrom
Affiliate, Biostatistics & Medical Informatics Department
Functional data analysis, semiparametric models, nonlinear random effects models, free knot
spline regression, analysis of clustered data, statistical computing

Po-Ling Loh
Affiliate, Electrical & Computer Engineering Department
High-dimensional statistics, compressed sensing, nonconvex optimization, robust statistics, network inference

Wei-Yin Loh
Statistical inference; bootstrap theory and methods; decision tree algorithms for data mining and prediction with applications to missing value imputation, analysis of sample surveys, and subgroup identification for personalized medicine

Michael Newton
Statistics / Biostatistics & Medical Informatics Department
Stochastic modeling, computational biology, empirical Bayesian analysis, ranking

Erik Nordheim
Biological Statistics, Design and Analysis, Applied Linear Models

Peter Qian
Big data analytics, search engine optimization, design of experiments, uncertainty quantification

Mari Palta
Affiliate, Departments of Population Health Sciences / Department of Biostatistics & Medical Informatics
Biostatistical methods and epidemiology

Garvesh Raskutti
Optimization Theory, Information theory and Theoretical statistics to study computational and statistical aspects of large-scale and inference problems

Paul Rathouz
Affiliate, Biostatistics & Medical Informatics Department
Missing data in models for highly stratified or longitudinal data, generalized linear models, methods for behavior genetic designs, and outcome-dependent sampling for longitudinal data. Most of his current applied statistical work is in the areas of developmental psychopathology and health services research.

Karl Rohe
Respondent-driven sampling, social network analysis, network clustering, machine learning, knowledge creation with statistics

Timo Seppalainen
Affiliate, Mathematics Department
Motion in a random medium, interacting particle systems, large deviation theory

Jun Shao
Inference, asymptotic theory, resampling methods, linear and nonlinear models, model selection, sample survey
Kam Wah Tsui
Decision Theory, Survey Sampling, Statistical Inference

Grace Wahba
Multivariate function estimation, model building with splines, inverse problems, applications in meteorology, biostatistics, machine learning

Sijian Wang
Statistics / Biostatistics & Medical Informatics Department
Statistical Learning, High Dimensional Data Analysis, Variable Selection, Survival Analysis, Bioinformatics

Yazhen Wang
Financial time series & high frequency finance, quantum simulation & computation, ultra-high inference,
Wavelets, nonparametric smoothing, change points, long-memory process, & order restricted statistical inferences

Robert Wardrop
Emeritus
Online statistical education, statistics in sports
Brian Yandell
Statistics / Horticulture (CALS)
Nonparametrics, biometry, gene mapping, generalized linear models

Menggang Yu
Affiliate, Biostatistics & Medical Informatics Department
Clinical and preclinical biostatistics, health service and health outcome research, predictive modeling, failure time analysis, missing data and measurement error, meta-analysis, semiparametric methods

Ming Yuan
Statistics / WIMR
Stochastic modeling and inference, Nonparametric and high dimensional inference, Biomedical and financial applications

Anru Zhang
High-dimensional statistical inference, statistical learning theory, large-scale multiple testing

Chunming Zhang
Neuroinformatics and bioinformatics, machine learning and data mining, multiple testing, large-scale simultaneous inference and application, statistical methods in finance econometrics, non- and semi-parametric estimation and inference, functional and longitudinal data analysis

Zhengjun Zhang
Extreme value analytics for big data and financial time series analysis; risk analysis in finance, insurance, environmental studies, and seismic data; nonlinear/asymmetric causal inference; hi-dimensional inference; medical statistics; stochastic optimization and simulation technique; Bayesian inference for time series

Yingqi Zhao
Affiliate, Biostatistics & Medical Informatics Department
Dynamic treatment regimes, personalized medicine, clinical trials, empirical processes, machine learning, survival analysis, public health surveillance

Jun Zhu
Statistics / Entomology (CALS), Biometry Program
Spatial statistics, biometry, environmental statistics, spatial demography, statistical ecology

See Department of Biostatistics & Medical Informatics for additional Biostatistics Faculty Research Interests.