Stephan Mandt
Scholar

Stephan Mandt

Google Scholar ID: HOrGe7wAAAAJ
Associate Professor, University of California, Irvine
Artificial IntelligenceMachine LearningCompressionAI for ScienceGenerative Models
Citations & Impact
All-time
Citations
7,420
 
H-index
39
 
i10-index
78
 
Publications
20
 
Co-authors
42
list available
Resume (English only)
Academic Achievements
  • NSF CAREER Award recipient
  • UCI ICS Mid-Career Excellence in Research Award
  • Mercator Fellowship from the German Research Foundation (DFG)
  • Kavli Fellow of the U.S. National Academy of Sciences
  • Member of the ELLIS Society
  • Action Editor for Journal of Machine Learning Research and Transactions on Machine Learning Research
  • Regular Senior Area Chair for NeurIPS, ICML, and ICLR
  • Program Chair for AISTATS 2024 and General Chair for AISTATS 2025
  • Organized tutorials at NeurIPS, AAAI, and UAI
  • Research funded by NSF, DARPA, IARPA, DOE, Disney, Intel, and Qualcomm
Background
  • Associate Professor of Computer Science and Statistics at the University of California, Irvine
  • Co-Director of the AI in Science Institute
  • AI Resident and Investigator at the Chan Zuckerberg Initiative
  • Research focuses on foundational and applied aspects of generative AI, including deep generative modeling, uncertainty quantification, neural data compression, and AI for science
  • Emphasizes resource-efficient learning and inference algorithms, and AI-driven scientific discovery
  • Research interests include generative modeling of 2D, 3D, and sequential data, compression, and inference algorithms