I am an Associate Professor jointly appointed in the Departments of
at Carnegie Mellon University. I joined the Statistics faculty at
Carnegie Mellon University in 2011, and I joined the Machine Learning
faculty in 2013. I did my Ph.D. in Statistics at Stanford University
in 2011. My thesis advisor was
Before that, I did my B.S. in Mathematics at Stanford University in 2007.
My research interests lie broadly in statistics, machine learning, and
optimization. More specifically, my interests include
graphs, optimization, and
My main applied focus at this time is on methods for
(primarily seasonal flu).
I am currently an Associate Editor for:
Annals of Statistics,
Journal of the American Statistical Association (JASA), and
Journal of Machine Learning Research (JMLR).
I am occasionally an Area Chair for the conferences:
Artificial Intelligence and Statistics (AISTATS),
International Conference on Machine Learning (ICML), and
Neural Information Processing Systems (NeurIPS)
(usually just for one of these conferences per year).
I am on the Editorial Board for the
Springer Series in the Data Sciences.
I am on the Scientific Advisory Board the Institute for Pure and Applied Mathematics (IPAM).
A full CV can be found here.