Biostatistics Faculty Profiles

Department of Biostatistics faculty and researchers have achieved national and international reputations for excellence in their field. Read more about our faculty below, and click on a name to view the full faculty profile.

Department Chair

Bhramar Mukherjee Bhramar Mukherjee, Ph.D.
Statistical Methods in Epidemiology; Analysis of Electronic Health Records and Biobank Data; Shrinkage and Selection Problems; Gene-Environment Interaction; Bayesian Modeling and Inference; Cancer, Reproductive, Cardiovascular Epidemiology and Environmental Health.

Core Faculty

Goncalo Abecasis Goncalo Abecasis, D.Phil.
Identification of genes involved in complex disease, with a special emphasis on developing analytical methods that help geneticists reap the full benefits of new high-throughput technologies.

Veerabhadran BaladandayuthapaniVeera Baladandayuthapani, Ph.D. 
Statistical Methodology: Bayes; big data, health data science, functional data, graphical models, integrative modeling, machine learning, nonlinear/nonparametric models, spatial data, statistical computing. Application areas: Cancer, high-throughput genomics, epigenomics, transcriptomics and proteomics, high-resolution neuro- and cancer- imaging, clinical trials, precision medicine

Mousumi Banerjee Mousumi Banerjee, Ph.D.
Tree-structured regression and ensemble methods, survival analysis with competing risks, multilevel models, cancer epidemiology and health services research.

Veronica Berrocal Veronica Berrocal, Ph.D.
Spatial, spatio-temporal, Bayesian and environmental statistics; spatial and environmental epidemiology; exposure to environmental risk factors and relationship to health; statistical methods for atmospheric science data; rheumatology research; image analysis

Michael Boehnke Michael Boehnke, Ph.D.
Understanding the genetic basis of human health and disease, design and analysis of human gene mapping studies, genome-wide association studies based on array genotyping and whole genome sequencing, and genetics of type 2 diabetes and related traits, bipolar disorder, and schizophrenia.

Philip Boonstra Philip S. Boonstra, Ph.D.
Shrinkage estimators, hierarchical models, high-dimensional data analysis, measurement error problems, cancer epidemiology, cancer genetics/genomics, and early-phase oncology clinical trials.

 F. DuBois Bowman F. DuBois Bowman, Ph.D.
Parkinson's disease, Alzheimer's disease, depression, schizophrenia, and substance addiction.

Thomas Braun Thomas Braun, Ph.D.
Bone marrow transplantation, periodontal disease, Bayesian Phase I trial designs, clinical trials, hierarchical models, longitudinal data. 

Michael Elliott Michael R. Elliott, Ph.D.
Design and analysis of sample surveys, causal modeling inference, and latent variable models for longitudinal data with applications to injury epidemiology, reproductive epidemiology, and social determinants of health.

Lars Fritsche Lars Fritsche
Analyses that combine genetic information obtained from sequencing and genotyping arrays with extensive phenotypic data collected using electronic health records and other population scale approaches.

peisongPeisong Han, Ph.D.
Missing data problems in public health studies and survey sampling, and data integration

Zhi (Kevin) He Zhi (Kevin) He, Ph.D.
Survival analysis, high-dimensional data analysis, statistical genetics, statistical methods for epidemiology and causal inference, and statistical methods for analyzing large-scale data arising from CKD and ESRD studies.

Hui Jiang Hui Jiang, Ph.D.
Bioinformatics, statistical genomics and computational statistics.

Timothy Johnson Timothy D. Johnson, Ph.D.
Statistical modeling of biomedical data. Bayesian and MCMC methodology with and emphasis on mixture models and variable parameter spaces. Applications in neurology, cancer, radiology and endocrinology.

Jian KangJian Kang, Ph.D.
Statistical Methods for Big data, Bayesian methods, Imaging Statistics (fMRI, PET and DTI), Spatial Statistics, Independent Component Analysis, Composite Likelihood, Graphical Models, Survival Analysis, Longitudinal data analysis, Functional data analysis, Bioinformatics and Statistical Genetics.

Hyun Min Kang Hyun Min Kang, Ph.D.
Genome-wide association mapping with next-generation sequencing data, population stratification in association studies, genetics-driven approach to drug discovery. Statistical and computational method development in genetics.

Kelley Kidwell Kelley M. Kidwell, Ph.D.
Survival analysis, adaptive treatment strategies, and applications to cancer research.

Sehee Kim Sehee Kim, Ph.D.
Joint modeling of longitudinal and recurrent event data, measurement error models, semiparametric regression models.

Seunggeun Lee Seunggeun Shawn Lee, Ph.D.
My research interests include statistical genetics, computational statistics and high dimensional data analysis.

Yanming LiYanming Li, Ph.D.
High-dimensional data analysis with application to cancer-genomics, neuroimaging-genomics and health record data; Weak signal detection and estimation; large-scale gene and brain networks; high-dimensional survival models

  Yi Li Yi Li, Ph.D.
High-dimensional data analysis with applications in genetics/genomics, survival analysis, longitudinal and correlated data analysis, measurement error problems, spatial models and clinical trial design.

Yun Li Yun Li, Ph.D.
Methodology: Causal inference, missing data issues, Bayesian inference, surrogate data, intermediate outcome, mixed models, survival analysis, Applications: clinical trials, observational studies, cancer, cardiovascular disease, and liver and kidney disease.

Roderick Little Roderick J.A. Little, Ph.D.
Statistical analysis with missing data, inference from complex surveys, Bayesian methods, applications of statistics in epidemiology, neurology, cancer, social sciences.

Bhramar Mukherjee Bhramar Mukherjee, Ph.D.
Statistical Methods in Epidemiology; Analysis of Electronic Health Records and Biobank Data; Shrinkage and Selection Problems; Gene-Environment Interaction; Bayesian Modeling and Inference; Cancer, Reproductive, Cardiovascular Epidemiology and Environmental Health.

Susan Murray Susan Murray, Sc.D.
Nonparametric survival analysis, missing data issues, quality of life research, group sequential monitoring of survival endpoints, correlated survival endpoints, pulmonary research.

Trivellore Raghunathan Trivellore Eachambadi Raghunathan, Ph.D.
Statistical analysis of incomplete data, multiple imputation, Bayesian inference, design and analysis of sample surveys, small area estimation, analysis of longitudinal data, confidentiality and disclosure limitation, cardiovascular epidemiology..

Douglas Schaubel Douglas E. Schaubel, Ph.D.
Causal Inference; temporal process regression; survival analysis; health services research; recurrent/terminal events.

Laura Scott Laura Scott, Ph.D.
Identification of genetic variants that increase risk of type II diabetes and bipolar disorder, complex diseases study design, use of biological information to evaluate of genetic associations, methods development for experimental data analysis.

Peter Song Peter X.K. Song, Ph.D.
Longitudinal data analysis, missing data problems in clinical trials, statistical methods in bioinformatics and genetics, and time series analysis.

Cathie Spino Cathie Spino, Sc.D.
Clinical trials methodology, particularly adaptive designs, and women's and children's health.

Jeremy Taylor Jeremy M G Taylor, Ph.D.
Longitudinal and survival analysis, cure models, missing data, Box-Cox transformations, statistical methods for bioinformatics, surrogate and auxiliary variables, statistical modelling of biomedical data.

Alexander Tsodikov Alexander Tsodikov, Ph.D.
Multivariate semiparametric survival models, applications in cancer.

Lu Wang Lu Wang, Ph.D.
Nonparametric and semiparametric regression, semiparametric efficiency, missing data, longitudinal (correlated/clustered) data, epidemiology, observational studies, clinical trials.

Xiaoquan Wen Xiaoquan William Wen , Ph.D.
Bayesian and Computational Statistics with applications in genetics and genomics.

zhenkewuZhenke Wu, Ph.D.
Bayesian Hierarchical Latent Variable Models, Robust Inference for Experimental and Observational Data, Open-Source Software Platform for Learning Health Communities

Wen Ye Wen Ye, Ph.D.
Clinical trials and epidemiological studies, particularly measurement error, informative dropout, missing data, and non-compliance issues.

Sebastian Zöllner Sebastian Zöllner, Ph.D.
Population genetics, copy number variation, rare variants, genetics of psychiatric diseases.

zawistowski Matthew Zawistowski, Ph.D.
Statistical and Population Genetics, Electronic Health Records, Risk Prediction, Precision Medicine, Statistics Education

Min Zhang Min Zhang, Ph.D.
Semiparametric methods with missing and censored data, causal inference,survival analysis, clinical trials, and longitudinal data analysis.

Lili Zhao Lili Zhao, Ph.D.
Developing Bayesian statistical methodology and applying it in cancer research. Current methodological work involves change point analysis, phase I and II clinical trials.

Xiang Zhou Xiang Zhou, Ph.D.
Computational and Statistical Methods for Large-Scale Genetic and Genomic Studies.


Faculty with Joint Appointments

Andrzej Galecki Andrzej T. Galecki, M.D., Ph.D.
Developing computational methods for analyzing correlated and over dispersed data.

Brenda Gillespie Brenda Gillespie, Ph.D.
Applied biostatistics, particularly survival analysis, clinical trials, and applications of biostatistics to epidemiology.

Matthew Schipper Matthew J. Schipper, Ph.D.
Early phase oncology trial design, predictive risk modeling and use of biomarkers to individualize and adapt treatment.

Ananda Sen Ananda Sen, Ph.D.
Analysis of recurrent event data in both biomedical and engineering contexts. Competing risks, and accelerated failure time modeling.

Kerby Shedden Kerby Shedden, Ph.D.
Statistical modeling in the natural sciences. High dimensional and massive data sets. Statistical computing.


Lecturers and Adjunct Faculty

Niko KacirotiNiko Kaciroti, Ph.D.
Longitudinal data analysis, Bayesian methods, missing-data, clinical trials. Application of statistics in an interdisciplinary setting: medical and social science, developmental data, managing chronic disease, global health.

Hyungjin Kim Hyungjin Myra Kim, Sc.D.
Evaluation of feasibility, effectiveness, and accuracy of various telemedicine approaches compared with traditional onsite medical care; medical decision analysis; cost-effectiveness analysis.

Bin Nan Bin Nan, Ph.D.
Semiparametric regression models, survival analysis, high-dimensional data analysis, cohort studies, clinical trials.

Brisa SanchezBrisa Sanchez
Statistical methodology applicable to environmental epidemiology, and social epidemiology, and health disparities.

Maureen SartorMaureen A. Sartor, Ph.D.
Developing statistical methodology for high throughput genomic and epigenomic experiments and other bioinformatic applications.

Yajuan Si Si, Yajuan, Ph.D.
Bayesian statistics, multilevel regression and poststratification, latent variable models, high-dimensional data, categorical data analysis, missing data imputation, complex survey inference, weighting approaches, causal inference and data confidentiality protection, with applications on epidemiogoly and health services research.

Alex TsoiAlex Tsoi, Ph.D.
Developing analysis pipelines and computational approaches for genetics and genomics data to study complex cutaneous diseases.

Kathleen Welch Kathleen B. Welch, M.S.
Models for correlated data for continuous outcomes, and generalized estimating equations and other models for correlated discrete outcomes.


Emeritus Faculty

Morton Brown Morton B. Brown, Ph.D.
Clinical trials, categorical data analysis, statistical computing, robust methods and model fitting.

Jack Kalbfleisch Jack D. Kalbfleisch, Ph.D.
Development of statistical methods and theory, survival and event history analysis, design and analysis of clinical trials, mixture models, stochastic modeling, applications in renal disease and organ transplantation.

James Lepkowski James M. Lepkowski, Ph.D.
Survey methodology, particularly sampling design and estimation, telephone sample design, handling unit and item nonresponse, variance estimation, analysis of complex sample survey data, and respondent-interviewer interaction in the survey process.