I work on problems at the intersection of computer science, statistics, evolutionary biology, and genomics. My research has touched on a diverse collection of topics, including the identification of recombinant strains of HIV, the discovery of human genes, and the estimation of the times in early human history when major population groups first diverged. A general theme in my work is the development of precise mathematical models for the complex processes by which genomes evolve over time, and the use of these models, together with techniques from computer science and statistics, both to peer into the past, and to address questions of practical importance for human health.

Awards and Achievements

  • Guggenheim Fellowship
  • NSF CAREER Award
  • Sloan Research Fellowship