Rose E Wang
Scholar

Rose E Wang

Google Scholar ID: V-dlwF4AAAAJ
Stanford
natural language processingeducationrepresentation learningmultiagent systems
Citations & Impact
All-time
Citations
8,360
 
H-index
19
 
i10-index
25
 
Publications
20
 
Co-authors
20
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published several papers, including 'Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise' and 'Bridging the Novice-Expert Gap via Models of Decision-Making.' These studies have been cited or featured in the 2025 Economic Report of the President, MIT Technology Review, and other notable media and organizations.
Research Experience
  • Involved in the Tutor CoPilot project, which is the first large-scale human-AI approach in live tutoring with 1,800 K12 students and 900 tutors. Conducted multiple research projects on education conversation data, decision-making models, etc.
Education
  • Ph.D. in Computer Science from Stanford University, advised by Diyi Yang and Dora Demszky; B.Sc. in Computer Science from MIT, worked with Profs. Josh Tenenbaum and Jonathan How.
Background
  • A researcher at OpenAI. Received a Ph.D. in Computer Science from Stanford University, advised by Diyi Yang and Dora Demszky. Her work is recognized by the 2025 Economic Report of the President.
Miscellany
  • Gave invited talks at Princeton University, University of Washington, UC Berkeley, and other academic institutions.