About Me
I am a fifth-year Ph.D. candidate in Operations Management at the Robert H. Smith School of Business, University of Maryland, affiliated with the Institute for Trustworthy AI in Law & Society and the Maryland Language Science Center. I am very fortunate to be advised by Professor Wedad J. Elmaghraby. Prior to my doctoral studies, I earned a Master’s degree in Applied Statistics from the University of Michigan–Ann Arbor and a dual Bachelor’s degree in Financial Management and Mathematical Statistics from Xiamen University.
Research Interests
My research studies how artificial intelligence can improve decision-making in operations, particularly in business environments shaped by human interaction and unstructured data. I focus on problems at the intersection of marketplace analytics, service operations, and AI for social good. Methodologically, I draw on optimization, causal inference, and machine learning—particularly natural language processing—to analyze unstructured data, uncover business insights, and tackle complex operations challenges.
Upcoming Talks
INFORMS Advances in Decision Analysis Conference
Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models
June 22, 2026, 1:00-2:30
PhD Incubator Session II, Fuqua School of Business, Duke UniversityINFORMS MSOM Conference
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
July 13, 2026, 2:45-4:15
Session MC9:TIE - AI in Hiring and the Workplace, Hawes 201, Harvard Business SchoolINFORMS Revenue Management and Pricing Section Conference
How Online Labor Matches Succeed or Fail: Evidence from Large-Scale Client–Freelancer Conversations
July 22, 2026, 9:40-11:00
Session: AI/LLM, Room 0220, Ross School of Business, University of MichiganAI and Economics (AIE) Summer Conference
Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models
August 11, 2026, 1:20-1:40
Room 021, Saieh Hall for Economics, The University of Chicago
Contact
Email: jiannan@umd.edu
