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Professor of Statistics, University of Michigan

My primary area of research is machine learning. My research group focuses on rigorous theoretical analysis of machine learning models and algorithms. We also work on challenging real-world applications of machine learning especially in chemistry and psychiatry. My work has been supported by an NSF CAREER grant (2015), a Sloan Research Fellowship (2017), an Adobe Data Science Research Award (2020), and a Facebook Research Award (2021). I serve on the editorial boards of Journal of Machine Learning Research and Statistical Science. In 2022, I was named as a Fellow of the Institute of Mathematical Statistics.

My alma maters are IIT Kanpur (B.Tech., 2002) and UC Berkeley (M.A., 2005 and Ph.D., 2007. Advisor: Peter Bartlett). I was a research assistant professor at TTIC from 2008 to 2010. From 2010 to 2012, I was a post-doctoral fellow at UT Austin where I worked with Inderjit Dhillon and Pradeep Ravikumar.


  • –present
    Professor of Statistics, University of Michigan