Past Member
Guang Cheng
Funding provided by Eric and Wendy Schmidt
From
–
Guang Cheng is directing a big data theory research group, whose major goal is to develop computationally efficient inferential tools for big data with statistical guarantees. Currently, he is interested in the statistical foundation of deep learning and reinforcement learning.
Dates at IAS
Member
School of Mathematics
–
Fall
Degrees
University of Wisconsin, Madison
Ph.D.
2006
Honors
2018
University Faculty Scholar, Purdue University
2014
Simons Fellowship in Mathematics, Simons Foundation
2013
Noether Lecture, Joint Statistical Meeting
2012
Noether Young Scholar Award, American Statistical Association
2012
CAREER Award, NSF
Appointments
Purdue University
2016
Full Professor of Statistics