Ph.D., 2010, Stanford University
Our broad goal is to better understand how genetic variation leads to phenotypic variation for complex traits including disease susceptibility and drug response. In our computational human genetics lab, we develop systems approaches to complex trait prediction by building statistical models that leverage and integrate similarity in genetic, transcriptomic, or other omics-level data. Our current focus is understanding the degree of transferability of genetic association results and implicated genes across diverse populations; we hope to reduce the contribution of genomics to health disparities. See our website for more information about the lab and its members, including our recent publications.