Scholar
Mengting Wan
Google Scholar ID: ve3BmdEAAAAJ
Microsoft
Citations & Impact
Citations
1,872
H-index
18
i10-index
21
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in conferences such as ICLR 2025, KDD 2024, ACL 2024, and others. One of her papers, 'Learning Causal Effects on Hypergraphs' at KDD 2022, won the Best Research Paper Award.
Research Experience
- Before joining Microsoft, she worked as a scientist at Airbnb, focusing on ML and NLP problems.
Education
- Ph.D. from the University of California, San Diego (UCSD), advised by Prof. Julian McAuley; Master's degree in Statistics from the University of Illinois at Urbana-Champaign; Bachelor's degree in Statistics from Peking University, and was also a student in the Yuanpei Program at Peking University.
Background
- Currently a Principal Research Scientist at Microsoft's Office of Applied Research. Her research focuses on LLM-Based Human-AI Interactive Systems, including LLM Alignment, Complex Reasoning and Planning, LLM Orchestration and Routing, User Simulation, LLM Agents, and Agentic Systems.
Miscellany
- Her personal website provides links to LinkedIn, Email, Twitter, and GitHub.
