I am an Associate Professor jointly appointed in the Departments of
Statistics and Machine Learning 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 Jonathan Taylor.
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
learning on graphs,
My main applied focus at this time is on methods for
(primarily seasonal flu).
I am currently an Associate Editor for the
Annals of Statistics
and Journal of Machine Learning Research (JMLR),
and I am also on the Editorial Board for the
Springer Series in the Data Sciences.
In the past, I've been an Associate Editor for Biometrika and
Statistical Analysis and Data Mining,
and an Area Chair for
Artificial Intelligence and Statistics (AISTATS),
International Conference on Machine Learning (ICML), and
Neural Information Processing Systems (NIPS)
(I am usually AC for just one of these conferences per year).
A full CV can be found here.