Professor of Epidemiology
The study of the relative contribution of genes and environment to the risk of common diseases presents a number of statistical challenges, from study design to analysis. My research focus is statistical methodology in genetic epidemiology, including family-based and population-based case-control studies.
My current projects include methods to measure association between haplotypes of multiple tightly-linked markers and disease in matched case-control studies and to detect gene x gene and gene x environment interactions. I am also interested in using joint variation in DNA sequence and gene expression to better understand disease etiology.
I collaborate with colleagues in the Department of Epidemiology and the Channing Laboratory on a number of large-scale cohort studies, such as the Nurses’ Health Study, as well as the international Cohort Consortium for Breast and Prostate Cancer.
PhD, Biostatistics, 2002, University of Southern California
MS, Biostatistics, 1998, University of Southern California
MA, Mathematics, 1997, University of Southern California