Linxi "Jim" Fan
Scholar

Linxi "Jim" Fan

Google Scholar ID: sljtWIUAAAAJ
NVIDIA, https://jimfan.me
Foundation modelsgeneral-purpose agentsreinforcement learningroboticslarge-scale AI systems
Citations & Impact
All-time
Citations
8,621
 
H-index
28
 
i10-index
35
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • - Voyager: The first AI agent that plays Minecraft proficiently and bootstraps its capabilities continuously
  • - MineDojo: An open-ended agent learning framework in Minecraft, won the Outstanding Paper Award at NeurIPS 2022
  • - Eureka: A 5-finger robot hand doing extremely dexterous tasks like pen spinning
  • - VIMA: One of the earliest multimodal foundation models for robot manipulation
  • - Published multiple conference papers and journal articles, including NeurIPS, FMDM Workshop, etc.
Research Experience
  • - Interned at OpenAI, Baidu AI Labs, and MILA
  • - Worked with Ilya Sutskever, Andrej Karpathy, Andrew Ng, Dario Amodei, and Yoshua Bengio during internships
  • - Spearheaded projects such as Voyager, MineDojo, Eureka, and VIMA
Education
  • - Ph.D. from Stanford Vision Lab, advised by Prof. Fei-Fei Li
  • - Valedictorian of Class 2016 and received the Illig Medal at Columbia University
Background
  • - Senior Research Scientist and Lead of AI Agents at NVIDIA AI
  • - Research interests include multimodal foundation models, reinforcement learning, computer vision, and large-scale systems
  • - Mission to build generally capable agents across physical worlds (robotics) and virtual worlds (games, simulation)
Miscellany
  • - Shares extensive insights about AI research & industry on Twitter/X and LinkedIn
  • - Was OpenAI’s very first intern, working on World of Bits project