I am an Assistant Professor in the Department of Statistics at Harvard University, where I develop methodology for high-dimensional inference, robust machine learning, and autonomous robotic motion planning. I am very interested in applying my work to real data, with examples so far including genetics, climate science, and health care.

Prior to Harvard, I was a Ph.D. student in Stanford University's Statistics Department, where I was advised by Emmanuel Cand├Ęs. In 2011, I received a B.S. in mathematics (honors thesis advised by Bala Rajaratnam) and physics, as well as a M.S. in statistics, from Stanford University.


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