I am a research scientist at Google research in New York. Earlier I was a research assistant professor at TTI Chicago. I obtained my PhD at The University of Texas at Austin where I was advised by Prof. Sujay Sanghavi. My research is primarily focused on designing statistically efficient algorithms for large scale machine learning problems. I am interested in non-convex optimization, matrix and tensor factorization, neural networks and sub-linear time algorithms.