Passionate, committed, encouraging, approachable, incredible – these are just a few of the adjectives used to describe faculty members receiving teaching and advising awards at the 2022 Cornell... Read more about Awards honor excellence in engineering teaching and advising
I joined Cornell in August 2016 as an Assistant Professor in the school of Electrical and Computer Engineering, after spending two years as a postdoc at MIT. I was promoted to Associate Professor in June 2022. I obtained my Ph.D. from University of California, San Diego, and my B.Tech degree from Indian Institute of Technology, Kharagpur.
I am interested in information theory, algorithmic statistics, and machine learning. In particular, I am interested in understanding the trade-offs between resources (e.g., data, memory, time, etc) for problems in statistical learning. During my graduate work, I worked on compression and statistical estimation, with particular emphasis on problems over large domains.
- 2016."Sample-optimal density estimation in nearly-linear time". .
- 2015."Optimal testing of properties of distributions." .
- 2015."The complexity of estimating Rényi entropy." .
- 2015."String reconstruction from substring compositions."29(3): 1340-1371. .
- 2014."Near-optimal-sample estimators for spherical gaussian mixtures." .
Selected Awards and Honors
- Kenneth A. Goldman ’71 Excellence in Teaching Award (College of Engineering) 2022
- MIT Energy Initiative Fellowship(MIT)2014
- Shannon Graduate Fellowship(UCSD)2012
- Jack Keil Wolf Student Paper Award(ISIT)2010
- B.Tech..(Electronics and Communication Engineering),IIT Kharagpur,2007
- M.S.(Electrical and Computer Engineering),University of California, San Diego,2009
- Ph.D.(Electrical and Computer Engineering),University of California, San Diego,2014