I am an Assistant Professor of Statistics and Affiliate in Computer Science at Harvard University, where I study high-dimensional inference and statistical machine learning. In addition to my methodological and theoretical work, I collaborate with domain experts to apply my work to scientific fields including genetics, political science, and climatology, and I run the Harvard Statistical Consulting Service where I supervise PhD students advising hundreds of researchers per year.
Prior to Harvard, I was a Ph.D. student in Stanford University's Statistics Department, where I was advised by Emmanuel Candès. 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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