Brief bio: I am currently an assistant professor at the University of Texas at Austin. My primary appointment is in the Department of Statistics and Data Sciences. I am also an affiliate faculty in the Oden Institute for Computational Engineering and Sciences and a member of the Institute of the Foundations of Machine Learning. Previously, I was 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.
Interests: Broadly in statistical machine learning, optimization, and information theory. Specifically I have worked 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]utexas[dot]edu