Faculty and research interests

Research Interests: Group sequential methods, longitudinal data, epidemiologic applications, clinical trials

Research Interests: Causal inference with survival outcomes; Individualized treatment regimen estimation with survival outcomes; High-dimensional variable selection with survival outcomes; High-dimensional variable selection with measurement error; Two-stage sampling designs.

Research Interests: Robust statistics, outlier detection, dimension reduction and its applications in genome-wide association studies

Research Interests: Causal inference, Observational study, Matched designs for complex data structure, Sensitivity analysis for unmeasured confounding, Bayesian Modeling for causal effects, Survey sampling methodology, Small area estimation, Large population survey analysis, Statistical methods for observational studies in population health, health outcome research and social sciences

Research Interests: Geometric approaches to network inference and non-parametric non-Euclidean methods

Research Interests: Development of statistical and computational methods for integrative analysis of genetic and genomic data with biomedical big data.

Research Interests: Survival analysis, Epidemiologic methods, Stochastic processes, Phylogenetics and Causal inference

Research Interests: Meta-analysis and research synthesis, Bayesian hierarchical modeling and analysis of sample surveys

Research Interests: Censored regression models, linear and nonlinear mixed-effects models, longitudinal models, missing data analysis, multiple sclerosis disease, robust models, skew-elliptical/elliptical distributions, variable selection for mixed models

Research Interests: Complex Stochastic Systems Theory, Molecular Biosystems Modeling, Mathematical and Statistical Methods in Epidemiology and in Genomics

Research Interests: Statistical genetics, bioinformatics, and genomics, integrated analysis of miRNA-mRNA data, competing risks and multi-state models and missing value estimation in microarray data.

Research Interests: Spatial, Temporal, and Spatio-Temporal Statistics, Environmental and Ecological Statistics, Bayesian Hierarchical Modeling, Statistical Data Visualization, Infectious Diseases (HIV/AIDS, TB, etc.), Environmental Epidemiology, Statistical methods for observational studies in population health, health outcome research and social sciences, Behavioral Medicine and Psychology, Breast Cancer Prevention

Research Interests: My research focuses on developing statistical tools to address clinical research questions using genetic and genomic data and other high dimensional medical data sources, with a particular focus on methods relevant to cancer research.

Research Interests: Statistical methods for the analysis of data from high-throughput genomic assays; Discrete and ordinal response modeling; Mixture cure models; Statistical computing; Supervised learning and data mining

Research Interests: Drug interaction and precision medicine; his lab uses biomedical informatics, systems pharmacology and statistical approaches to investigate drug interactions and genomics effects on drug efficacies and adverse drug events

Research Interests: Statistical genetics, including phylogenetics, population genetics and genetic linkage studies

Research Interests: Computational statistics; Bayesian statistics; Decision theory; High-dimensional data analysis; Clinical trials design and analysis

Research Interests: Design and analysis of group randomized trials, first hitting time models for survival analysis, Bayesian nonparametrics, joint modeling, toxicological risk assessment

Research Interests: Inference for differential equation models, uncertainty quantification, likelihood-free inference

Research Interests: Bayesian hierarchical models, linear mixed effects models, clinical trials, causal inference, subgroup analysis, principal stratification, spatial data, infectious disease epidemiology