Professor and Chair of
Statistics
University of California, Berkeley
Principal Investigator in the
Delphi group
Biosketch
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. I did
my Ph.D. in Statistics at Stanford University (2011), with Jonathan Taylor as my
thesis advisor. I did my B.S. in Mathematics at Stanford (2007).
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
computational epidemiology, specifically
tracking and forecasting epidemics.
Professional service
I am currently Editor-in-Chief for Foundations and Trends in Machine
Learning, Editor-in-Chief for Foundations and Trends in
Statistics, and on the
Science Advisory Board of the Institute for Pure and Applied Mathematics (IPAM).
Other current and past service roles can be found on my CV.