Professor of
Statistics
University of California, Berkeley
Principal Investigator in the
Delphi group
Amazon Scholar in AWS AI Labs
Short bio
I am a Professor in the Department of Statistics at the UC Berkeley. I am also a
Principal Investigator in the Delphi group, and an Amazon Scholar in AWS AI
Labs. 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.
My main applied focus at this time is on
tracking and forecasting epidemics.
Professional service
In the past, I have been an Associate Editor for the
Annals of Statistics (2016-20),
Biometrika (2013-16),
Journal of the American Statistical Society (2019-20),
Journal of Machine Learning Research (2018-22),
and for a number of major ML conferences (NeurIPS, ICML, AISTATS, 2014-20).
A full CV can be found here.