CDSS Chancellor's Professor and Chair
Department 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).
More details, including other current/past service roles can be found on
my CV.