We develop and apply genomic and computational methods to investigate the genetic architecture of complex traits, including disease risk and drug response. We are interested in what can be learned from DNA sequence and multi-omics data about disease mechanism, therapeutic intervention, molecular evolution, and genome function.
We are interested in elucidating the genetic basis of human traits and diseases using novel computational methodologies, integrative analyses of heterogeneous multi-omics data, and innovative experimental approaches. A primary research focus is the development of methods in statistical and population genetics. The knowledge gained can be the basis for a genetics-driven forward pharmacology that enables identification of molecules with a desired phenotypic effect or mechanism of action. We leverage functional genomics to dissect the transcriptional regulatory logic and its context specificity in order to advance our understanding of biological mechanisms.
