I am an assistant professor at UCLA in the Department of Computer Science and the Department of Human Genetics.
Previously, I was a post-doctoral fellow at the Department of Genetics, Harvard Medical School. I got my Ph.D in Computer Science at UC Berkeley where I was advised by Kimmen Sjölander and Michael Jordan. Before coming to Berkeley, I spent four years at IIT, Madras where I got a B.Tech in Computer Science.
My interests lie at the interface of computer science, statistics and biology. I am interested in developing novel statistical models and efficient inference algorithms to analyze large-scale genomic data with the aim of understanding evolutionary processes as well as the genetic basis of complex phenoytpes. I am also interested in the statistical and inferential challenges that arise in making sense of genomic data.