Our laboratory is broadly is interested in problems at the intersection of Computer Science, Genomics and Statistics. In particular we develop scalable and efficient methods to make sense of complex, large-scale datasets that are being generated in the fields of human genetics and medical imaging. The goal of our work is to leverage these new methodologies to understand the genetic basis of disease as well as to address questions related to human evolution.