Antoine Bosselut
Scholar

Antoine Bosselut

Google Scholar ID: XD9hkJwAAAAJ
EPFL
Natural Language ProcessingMachine LearningCommonsense Representation and Reasoning
Citations & Impact
All-time
Citations
16,244
 
H-index
37
 
i10-index
65
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers in conferences such as EMNLP, NeurIPS, ICCV, COLM, NAACL, etc.
  • - Awarded an ERC Starting Grant
  • - Received Outstanding Paper Awards at NAACL 2025 and ACL 2023
  • - Won a Meta LLM Evaluation Research Grant
  • - Named to the Forbes 30 under 30 list in Science & Healthcare
  • - Delivered talks and organized workshops at various international conferences
Research Experience
  • - Assistant Professor at EPFL, leading the EPFL NLP group
  • - Former postdoctoral researcher in the SNAP and NLP groups at Stanford University
  • - Involved in multiple projects such as the Apertus project (designing large-scale, trustworthy LLMs)
  • - Member of the steering committee of the Swiss AI Initiative
Education
  • - Ph.D. in Computer Science, University of Washington, Advisor: Yejin Choi
  • - BEng in Electrical Engineering, McGill University
  • - Postdoctoral researcher at Stanford University, working with Jure Leskovec and Chris Manning
Background
  • Research interests include developing AI reasoning agents for the benefit of society, focusing on designing new AI reasoning methodologies and adapting them for applications in health, education, and global fairness. His research draws on methods in natural language processing, deep learning, machine learning, and artificial intelligence.
Miscellany
  • Personal interests and hobbies not provided