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

openings

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.

contact

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