Gagan Bansal
Scholar

Gagan Bansal

Google Scholar ID: eCSI4pMAAAAJ
Microsoft Research
Artificial IntelligenceHuman-Computer InteractionHuman-AI Interaction
Citations & Impact
All-time
Citations
5,258
 
H-index
19
 
i10-index
24
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published multiple papers (specifics not listed); led the development of frameworks and tools like AutoGen.
Research Experience
  • Joined Microsoft Research in 2022; since 2023, one of the leads of AutoGen until it transitioned to a product in mid-2025 forming the backbone of Microsoft’s official Agent Framework; also co-led several other popular open-source projects including Magentic-One, Magentic-UI, MarkitDown, and Magentic-Marketplace; led Microsoft's early thinking on improving human-agent interaction.
Education
  • Ph.D. in Computer Science from the University of Washington, Seattle, advised by Dan Weld; interned at Microsoft Research under the guidance of Besmira Nushi, Ece Kamar, and Eric Horvitz.
Background
  • Research Interests: Artificial Intelligence, Human-Computer Interaction. Conducts interdisciplinary research at Microsoft Research AI Frontiers.
Miscellany
  • Pronouns: he/him