Brief bio: I am currently a postdoctoral researcher in the Department of Statistics at the University of California at Berkeley. I received my Ph.D. jointly in Statistics and Machine Learning from Carnegie Mellon University in Pittsburgh. Before that, I received an M.A.Sc. in Electrical and Computer Engineering along with an M.Sc. in Statistics from the University of Toronto, where I was an exchange student from the Indian Institute of Technology at Guwahati while pursuing a B.Tech. in Electronics and Communications Engineering. More details can be found in my CV and on my general evolutions page.
Interests: Broadly in statistical machine learning, optimization, and information theory. Specifically I have on the following topics: exact asymptotics, random matrix theory, cross-validation and tuning, bagging and ensemble methods, sketching and randomized algorithms, free probability theory, uncertainty quantification, constrained statistical inference, model evaluation and benchmarking, network information theory, signal processing and wireless communications.
Email: pratikpatil[at]berkeley[dot]edu