Faculty from the Collaborative Biostatistics Program

The Biostatistics Program is a collaborative venture of the School of Public Health, Department of Community Health and Epidemiology and the Department of Mathematics and Statistics. The core faculty involved in this graduate program are identified below:

FacultyDepartment/CollegeAreas of Research Interests
Lisa Lix
Program Director
Adjunct, School of Public Health Analysis of longitudinal/repeated measures data; Robust statistics; Multivariate statistics; Measurement error; Data quality
Shahed Khan Department of Mathematics and Statistics, College of Arts and Science Modeling changepoint data; Longitudinal data analysis; Bayesian inference and Markov Chain Monte Carlo; Survival analysis
William Laverty Department of Mathematics and Statistics, College of Arts and Science Multivariate statistics; Time series analysis; Experimental and sampling design; Spatial statistics; Computer security
Longhai Li Department of Mathematics and Statistics, College of Arts and Science Classification and regression with high-dimensional measurements; Detecting differential variables from high-throughput data; Classification and regression with high-order interactions; Modelling DNA sequences
Hyun Lim Department of Community Health and Epidemiology, College of Medicine Statistical methods for longitudinal data; Recurrent event models in survival analysis; Design and analysis of clinical trials; Epidemiologic studies; HIV/AIDS treatment and prevention studies
Juxin Liu Department of Mathematics and Statistics, College of Arts and Science Model misspecification; Measurement error and misclassification; Interaction models; Markov Chain Monte Carlo algorithms; Missing data in longitudinal analysis, interplay between Bayesian and frequentist theories
Nazeem Muhajarine Department of Community Health and Epidemiology, College of Medicine Child Health Research; Understanding the role of Social and Economic status in use of Health Care status; Survey methodology and analysis of complex survey data; Multi-level modelling to understand area-based and individual-level factors on health; Community-University research partnership for knowledge development transfer and application.
Punam Pahwa Department of Community Health and Epidemiology, College of Medicine Applications of longitudinal data analysis techniques to various diseases/health conditions (focus on respiratory diseases, cancer, and farm injuries) related to rural occupational and environmental exposures; Analysis of longitudinal complex survey data analysis; Missing data; Analysis of quality of life data
Chris Soteros Department of Mathematics and Statistics, College of Arts and Science Statistical mechanics; Computer simulation; Combinatorics and bioinformatics
Raj Srinivasan Department of Mathematics and Statistics, College of Arts and Science Applied probability; Queueing theory; Queueing networks
Michael Szafron Assistant Professor, School of Public Health Monte Carlo simulations; Statistical Methods associated with Monte Carlo data; Computational biomodelling of the structure/function of biopolymers; Statistical Methods for the health sciences including survey data
Cindy Xin Feng Assistant Professor, School of Public Health Spatial statistics and disease mapping; Statistical methods for survival and longitudinal data; Environmental and ecological statistics; Infectious disease surveillance; Functional data analysis