Professor of
Statistics
University of California, Berkeley
Principal Investigator in the
Delphi group
Short bio
I am a Professor in the Department of Statistics at UC Berkeley. I am also a
Principal Investigator in the Delphi group. From 2011-2022, I was a faculty
member in Statistics and Machine Learning at Carnegie Mellon University. From
2007-2011, I did my Ph.D. in Statistics at Stanford University, with Jonathan
Taylor as my thesis advisor. From 2003-2007, I did my B.S. in Mathematics at
Stanford.
Research interests
My research interests lie broadly in statistics,
machine learning, and optimization; and
I like to think about problems from different angles:
applied, computational, theoretical.
More specifically, my interests include
high-dimensional statistics,
nonparametric estimation,
distribution-free inference,
convex optimization, and
numerical methods.
I also have a significant applied focus on
tracking and forecasting epidemics.
Professional service
I am currently Editor-in-Chief for
Foundations and Trends in Machine Learning,
and an elected member of the
Institute of Mathematical Statistics Council.
Other current and past service roles can be found on my CV.