Carnegie Mellon University
Principal Investigator in the
Amazon Scholar in AWS AI Labs
I am a Professor jointly appointed in the Departments of Statistics
and Machine Learning at Carnegie Mellon University.
I am also a Principal Investigator in the Delphi group at CMU,
and an Amazon Scholar in
group in AWS AI Labs. I have been a CMU faculty since 2011.
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.
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
continuous optimization, and
My main applied focus at this time is on
tracking and forecasting epidemics.
I am an Associate Editor for the
Journal of Machine Learning Research (JMLR),
and on the Editorial Board for the
Springer Series in the Data Sciences.
I am on the
Scientific Advisory Board
for the Institute for Pure and Applied Mathematics (IPAM).
In the past, I have been an Associate Editor for the
Annals of Statistics,
Biometrika, Journal of American Statistical Society (JASA),
and for a number of ML conferences (NeurIPS, ICML, AISTATS).
A full CV can be found here.