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Adam Siepel is an Associate Professor of Computational Biology at Cornell University. He works on problems at the intersection of computer science, statistics, evolutionary biology, and genomics. His 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. Siepel studied engineering at Cornell (1990-1994), then worked in software development for bioinformatics for several years in the late 1990s, before attending graduate school in Computer Science (M.S., University of New Mexico, 2001, and Ph.D., UC Santa Cruz, 2005). He has been on the faculty at Cornell since 2006. In addition to running an active research group, he teaches courses in computational genomics and machine learning, directs the graduate program in Computational Biology, and serves as an associate director for the Cornell Center for Comparative and Population Genomics (3CPG). Siepel is a winner of a Guggenheim Fellowship, a Microsoft Research New Faculty Fellowship, a Packard Fellowship, and a Sloan Fellowship.