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, PhD
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, DPhil
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.
Veera Baladandayuthapani, PhD
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, PhD
Tree-structured regression and ensemble methods, survival analysis with competing
risks, multilevel models, cancer epidemiology and health services research.
Michael Boehnke, PhD
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 S. Boonstra, PhD
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, PhD
Parkinson's disease, Alzheimer's disease, depression, schizophrenia, and substance
addiction.
Thomas Braun, PhD
Bone marrow transplantation, periodontal disease, Bayesian Phase I trial designs,
clinical trials, hierarchical models, longitudinal data.
Walter Dempsey, PhD
Statistical Methodology: survival and longitudinal analysis; statistical network analysis;
causal inference and sequential decision making; experimental design; statistical
models for exchangeable stochastic processes; functional data analysis. Application
areas: mobile health, digital health , biomedical data
Michael R. Elliott, PhD
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, PhD
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.
Peisong Han, PhD
Missing data problems in public health studies and survey sampling, and data integration
Zhi (Kevin) He, PhD
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.
Nicholas Henderson, PhD
Precision medicine, Empirical Bayes methods, Bayesian nonparametrics, Bayesian machine
learning methods, Computational statistics, Survival analysis, Data integration
Hui Jiang, PhD
Bioinformatics, statistical genomics and computational statistics.
Timothy D. Johnson, PhD
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 Kang, PhD
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, PhD
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 M. Kidwell, PhD
Survival analysis, adaptive treatment strategies, and applications to cancer research.
Yanming Li, PhD
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, PhD
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.
Roderick J.A. Little, PhD
Statistical analysis with missing data, inference from complex surveys, Bayesian methods,
applications of statistics in epidemiology, neurology, cancer, social sciences.
Bhramar Mukherjee, PhD
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, ScD
Survival analysis, missing data issues, quality of life research, group sequential
monitoring of survival endpoints, correlated survival endpoints, pulmonary research.
Trivellore Eachambadi Raghunathan, PhD
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.
Laura Scott, PhD
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.
Xu Shi, PhD
Electronic health records, causal inference, data corruption, record linkage, machine
translation, semiparametric efficiency theory, postmarketing safety surveillance,
healthcare policy.
Peter X.K. Song, PhD
Longitudinal data analysis, missing data problems in clinical trials, statistical
methods in bioinformatics and genetics, and time series analysis.
Cathie Spino, Sc.D.
Clinical trials methodology, particularly adaptive designs, and women's and children's
health.
Jeremy M G Taylor, PhD
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, PhD
Multivariate semiparametric survival models, applications in cancer.
Lu Wang, PhD
Statistical methods for evaluating dynamic treatment regimes, personalized health
care, nonparametric and semiparametric regressions, missing data analysis, and longitudinal
(correlated/clustered) data analysis, epidemiology, observational studies, clinical
trials.
Xiaoquan William Wen , PhD
Bayesian and Computational Statistics with applications in genetics and genomics.
Zhenke Wu, PhD
Bayesian Hierarchical Latent Variable Models, Robust Inference for Experimental and
Observational Data, Open-Source Software Platform for Learning Health Communities
Wen Ye, PhD
Clinical trials and epidemiological studies, particularly measurement error, informative
dropout, missing data, and non-compliance issues.
Sebastian Zöllner, PhD
Population genetics, copy number variation, rare variants, genetics of psychiatric
diseases.
Matthew Zawistowski, PhD
Statistical and Population Genetics, Electronic Health Records, Risk Prediction, Precision
Medicine, Statistics Education
Min Zhang, PhD
Semiparametric methods with missing and censored data, causal inference,survival analysis,
clinical trials, and longitudinal data analysis.
Lili Zhao, PhD
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, PhD
Computational and Statistical Methods for Large-Scale Genetic and Genomic Studies.
Faculty with Joint Appointments
Andrzej T. Galecki, M.D., PhD
Developing computational methods for analyzing correlated and over dispersed data.
Lana Garmire, PhD
Single-cell sequencing and bioinformatics. Integrative omics/clinic data analysis.
Translational bioinformatics of cancers and immune-related diseases, such as classifying
biomarkers for cancer prognosis and diagnosis. Pregnancy adversities and fetal orgin
of cancers, public health genomics.
Brenda Gillespie, PhD
Applied biostatistics, particularly survival analysis, clinical trials, and applications
of biostatistics to epidemiology.
Niko Kaciroti, PhD
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.
Maureen A. Sartor, PhD
Developing statistical methodology for high throughput genomic and epigenomic experiments
and other bioinformatic applications.
Matthew J. Schipper, PhD
Early phase oncology trial design, predictive risk modeling and use of biomarkers
to individualize and adapt treatment.
Ananda Sen, PhD
Analysis of recurrent event data in both biomedical and engineering contexts. Competing
risks, and accelerated failure time modeling.
Kerby Shedden, PhD
Statistical modeling in the natural sciences. High dimensional and massive data sets.
Statistical computing.
Yajuan Si, PhD
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.
Yilun Sun, PhD
Data-driven precision medicine, nonparametric statistics, causal inference, scalable
computation, clinical trial design and analysis
Alex Tsoi, PhD
Developing analysis pipelines and computational approaches for genetics and genomics
data to study complex cutaneous diseases.
Lecturers and Adjunct Faculty
Veronica Berrocal, PhD
Development and application of statistical methods for data that exhibit some form
of dependence, in particular spatial/spatio-temporal data, and longitudinal data.
Hyungjin Myra Kim, ScD
Evaluation of feasibility, effectiveness, and accuracy of various telemedicine approaches
compared with traditional onsite medical care; medical decision analysis; cost-effectiveness
analysis.
Bin Nan, PhD
Semiparametric regression models, survival analysis, high-dimensional data analysis,
cohort studies, clinical trials.
Brisa Sanchez, PhD
Statistical methodology applicable to environmental epidemiology, and social epidemiology,
and health disparities.
Douglas E. Schaubel, PhD
Causal inference; temporal process regression; survival analysis; health services
research; recurrent/terminal events.
Kathleen B. Welch, MS
Models for correlated data for continuous outcomes, and generalized estimating equations
and other models for correlated discrete outcomes.
Emeritus Faculty
Morton B. Brown, PhD
Clinical trials, categorical data analysis, statistical computing, robust methods
and model fitting.
Jack D. Kalbfleisch, PhD
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 M. Lepkowski, PhD
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.
