My research interests are in developing and analysing methods for high-dimensional data problems such as sparse regression, sparse nonparametric models, matrix completion, and graphical model selection. More recently I've been working on false discovery rate control and other inference problems in high-dimensional settings. I am also interested in the tradeoff between data privacy and statistical accuracy, and in statistics and optimization problems arising in medical imaging.
I am an Assistant Professor in the Department of Statistics at the University of Chicago, starting in January 2014. In 2012-2013 I was a NSF postdoctoral fellow in the Department of Statistics at Stanford University, supervised by Emmanuel Candès. Before my postdoc, I received my PhD in Statistics at the University of Chicago in 2012, advised by Mathias Drton and Nati Srebro, and a MS in Mathematics at the University of Chicago in 2009. Prior to graduate school, I was a mathematics teacher at the Park School of Baltimore from 2005 to 2007.