Jason D. Lee
Scholar

Jason D. Lee

Google Scholar ID: GR_DsT0AAAAJ
Associate Professor of EECS & Statistics at UC Berkeley
Machine Learning TheoryMachine LearningArtificial IntelligenceStatisticsOptimization
Citations & Impact
All-time
Citations
18,706
 
H-index
63
 
i10-index
133
 
Publications
20
 
Co-authors
179
list available
Resume (English only)
Academic Achievements
  • Samsung AI Researcher of the Year Award (2023)
  • NSF CAREER Award (2022)
  • ONR Young Investigator Award (2021)
  • Sloan Research Fellow in Computer Science (2019)
  • NIPS 2016 Best Student Paper Award for 'Matrix Completion has no Spurious Local Minima'
  • Finalist for Best Paper Prize for Young Researchers in Continuous Optimization
  • Princeton Commendation for Outstanding Teaching for ECE538B
  • Published numerous papers at top venues including NeurIPS, ICML, COLT, and JMLR on deep learning theory, Transformers, and policy gradient methods
Research Experience
  • Currently Associate Professor of EECS and Statistics at UC Berkeley
  • Formerly Associate Professor at Princeton University
  • Former Research Scientist at Google DeepMind
  • Former Member of the Institute for Advanced Study (IAS)
  • Postdoc at UC Berkeley with Michael I. Jordan