Past Member

Rong Ge

Funding provided by Eric and Wendy Schmidt

Affiliation

Mathematics

Field of Study

Computer Science

Home Institution

Duke University
From
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Rong Ge is broadly interested in theoretical machine learning. His research has focused on designing new algorithms with provable guarantees for problems like topic modeling, matrix completion, and deep neural networks. At IAS, he is interested in working on problems related to optimization and generalization of neural networks.

Dates at IAS

Member
School of Mathematics
Fall

Degrees

Princeton University
Ph.D.
2013

Honors

2019
Sloan Fellowship
2019
NSF CAREER Award

Appointments

Duke University
2015–2019
Assistant Professor
Microsoft Research New England
2013–2015
Post-doc