Ambuj Tewari

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.