I am a postdoctoral associate at the Broad Institute of MIT and Harvard, where my primary mentor is Dr. Victoria Popic. Prior to joining the Broad, I graduated from Northwestern with a PhD in Computer Science. At NU, I was in the CS theory group and was very fortunate to be advised by Prof. Konstantin Makarychev and Prof. Aravindan Vijayaraghavan. A long time ago in a galaxy far far away, I spent four wonderful years at Indian Institute of Technology Kanpur as a spirited undergrad majoring in Computer Science and Engineering, and minoring in Physics.

My research is broadly in the foundations of Machine Learning and its applications in Computational Biology. More specifically, I have worked on projects related to Causal Inference, Clustering, Determinantal Point Processes, Graphical Models, and Submodular Function Maximization. Currently, I am working on the applications of machine learning for finding structural variants in DNA sequences.