Summary of Research Interests

My group's major research interests lie in development and application of statistical and computational methods for analysis of analysis of high-throughput genetic and genomic data in epidemiological, environmental and clinical studies, analysis of complex exposure and phenotype data in observational studies, and statistical learning and inference for massive data. Our ongoing methodological research in statistical genetics and genomics includes rare variants in Whole Genome Sequencing (WGS) association studies, integrative analysis of different types of data, high-dimensional environmental and phenotype data, gene-environment interactions, Genome-Wide Association Studies (GWAS), genome-wide DNA methylation studies, pathway and network analysis. Our specific statistical research areas include, statistical inference for massive data, causal inference and mediation analysis, mixed models, longitudinal data analysis, nonparametric and semiparametric regression, and missing data. Our methodological work was previously supported by the MERIT award award from the National Cancer Institute (NCI) (R37, 2007-2015), and is currently supported by the Outstanding Investigator Award (R35), and the P01 grant both from National Cancer Institute, the Harvard Analysis Center of the Genome Sequencing Program of the National Human Genome Research Institute (NHGRI).

Statistical Areas of Interest

Subject Areas of Interest:

Active Methodological Grants

Past Statistical Grants

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