I am an Assistant Professor in the Statistics Department at Harvard University. My research broadly spans high-dimensional statistics, statistical machine learning, and robust inference, prediction for multi-study or multi-source data. I am simultaneously interested in applications of large scale statistical methods to the fields of genomics, genetics, and computational neuroscience. I am currently supported by an NSF DMS Award and a William F. Milton Fund Award.

Prior to this, I spent a year as a postdoctoral fellow at the Center for Research on Computation and Society, Harvard John A. Paulson School of Engineering and Applied Sciences, hosted by Prof. Cynthia Dwork. I received a Ph.D. in Statistics in 2019 from Stanford University, advised by Prof. Emmanuel Candès. At Stanford, I was honored to receive a Ric Weiland Graduate Fellowship and the Theodore W. Anderson Theory of Statistics Dissertation Award. I completed a Bachelor of Statistics in 2012 and a Master of Statistics in 2014 from the Indian Statistical Institute, Kolkata. Here are links to my CV, Google Scholar profile, and Math Genealogy


I am currently looking for highly motivated postdocs and students in high-dimensional statistics and/or statistical machine learning, with strong theoretical background. For further details on a postdoctoral position in my group, see here. Interested aspiring graduate students should apply here.


Science Center 712
One Oxford Street
Cambridge, MA 02138
pragya at fas dot harvard dot edu