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

• POMS Conference 2026
  The Operations of AI Model Marketplaces
  Sat, May 9 · 8:00–9:30 AM · Crystal 4

  How Online Labor Matches Succeed or Fail: Evidence from Large-Scale Client–Freelancer Conversations
  Sun, May 10 · 10:20–11:50 AM · Ruby 1

  Personalized Assortment Optimization for a Subscription Business Model of Experience Goods
  Sun, May 10 · 3:00–4:30 PM · Nevada 7
• Marketplace Innovation Workshop (MIW) (Scheduled)
• 2026 INFORMS Advances in Decision Analysis Conference (Scheduled)
• 2026 INFORMS Revenue Management and Pricing Section Conference (Scheduled)

Contact

Email: jiannan@umd.edu