Brief bio: I am an assistant professor in the Department of Statistics and Data Sciences at the University of Texas at Austin, with affiliations at the Oden Institute for Computational Engineering and Sciences and the Institute for Foundations of Machine Learning. Previously, I was a postdoctoral researcher in Statistics at the University of California, Berkeley. I received a joint Ph.D. in Statistics and Machine Learning from Carnegie Mellon University, M.A.Sc. and M.Sc. degrees from the University of Toronto, and a B.Tech. from the Indian Institute of Technology Guwahati.
Interests: Broadly in statistical machine learning, optimization, and information theory. Specifically I have worked on the following topics: high-dimensional statistics and exact asymptotics; random matrix and free probability methods; model evaluation, tuning, and uncertainty quantification; randomized learning methods, including ensembles, subsampling, and sketching; statistical–computational tradeoffs; statistical foundations and evaluation of modern AI systems, including distillation and generative models; constrained statistical inference and scientific applications; classical and quantum information theory; and signal processing and wireless communications.
Email: pratikpatil[at]utexas[dot]edu