Lionel Levine
Scholar

Lionel Levine

Google Scholar ID: uaiskTYAAAAJ
Professor, Cornell University
probabilitycombinatoricsstatistical mechanicsAI safety
Citations & Impact
All-time
Citations
905
 
H-index
16
 
i10-index
33
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • Published numerous papers and preprints, including 'FrontierMath: A benchmark for evaluating advanced mathematical reasoning in AI', 'How to quantify the coherence of a set of beliefs', etc. Supported by Open Philanthropy, National Science Foundation, Sloan Foundation, Simons Foundation, and Institute for Advanced Study. Editor of Combinatorial Theory, an open-source journal with no author fees and double-blind refereeing.
Research Experience
  • New Course: Math for AI Safety (Fall 2024); Has collaborated with Deepak Dhar, Cris Moore, Yuval Peres, and Jim Propp.
Background
  • Research Interests: abelian networks, interacting particle systems, communicating automata; Fields: Mathematics, Computer Science, Statistical Physics; Brief Introduction: Lionel Levine is a professor in the Department of Mathematics at Cornell University, focusing on the study of abelian networks.
Miscellany
  • Personal Interests: Not mentioned