I am an Assistant Professor in the Statistics Department at Harvard University. My research broadly spans high-dimensional statistics, statistical machine learning, robust inference and prediction under multi-study settings, and algorithmic fairness. I am simultaneously interested in applications of large scale statistical methods to computational neuroscience and genetics.

Prior to Harvard, 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 is a link to my CV and Google Scholar profile. 


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