I am an Associate Professor of Medicine at the Dana-Farber Cancer Institute and Harvard Medical School. My lab is focused on statistical genetics approaches to understand the mechanisms of cancer risk, germline-somatic interactions, and response to treatment. We have led the development the Transcriptome-Wide Association (TWAS) and Regulome/Cistrome-Wide Association methodologies to identify cancer risk mechanisms using molecular and epigenetic data. We have also developed multiple methods to infer genetic data from large-scale tumor sequencing and incorporate Real World clinical outcomes for biomarker analyses, including the study of host influences on immunotherapy outcomes. Earlier in my training, I also worked on algorithms to identify genetic relatedness in large data, such as the GERMLINE method for efficient Identity By Descent detection.