Jingfeng Wu

Jingfeng Wu

Postdoc, UC Berkeley

Jingfeng Wu is a Postdoctoral Researcher at the Simons Institute for the Theory of Computing at UC Berkeley, hosted by Peter Bartlett and Bin Yu as a part of the NSF/Simons Collaboration on the Theoretical Foundations of Deep Learning. Jingfeng is interested in algorithms, machine learning, optimization, and statistical learning theory, especially in deep learning theory.

Before coming to Berkeley, Jingfeng completed his PhD in Computer Science at Johns Hopkins University under the supervision of Vladimir Braverman. He received his MS and BS in Mathematics from Peking University.

Program Visits

Modern Paradigms in Generalization, Fall 2024, Research Fellow
program
Modern Paradigms in Generalization
visiting