My research interest centers around computational biology and mathematical aspects of population genetics. The latter concerns the study of various evolutionary forces -- such as mutation, recombination, natural selection, and demographic history -- that produce and maintain genetic variation in a population. In addition to being an important branch of biology that has been studied for many decades, population genetics is tightly linked to several areas of mathematics, including probability theory, stochastic processes, combinatorics, and graph theory. I am interested in developing efficient computational methods and novel analytic techniques for tackling challenging problems in population genetics. I also work on various computational biology problems, including phylogenetics, forensic science, and algorithms for next-generation sequencing.