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 Language Science Center. I am 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 centers on the use of artificial intelligence for decision making in operations, with a focus on personalization, prediction, and persuasion. I work at the intersection of marketplace analytics, service operations, and AI for social good—addressing critical issues such as algorithmic fairness, AI copyright infringement, and implicit biases in large language models. Methodologically, I draw on optimization, causal inference, and machine learning—particularly natural language processing—to analyze unstructured data, uncover business insights, and tackle complex operational challenges.

Upcoming Talks

• 3rd Annual Business & Generative AI Conference (AI@Wharton)
  • Title: AI Self-Preferencing in Algorithmic Hiring: Empirical Evidence and Insights
  • Session: 6-A (Recruitment and Hiring)
  • Time: 11:20 AM – 12:20 PM, Friday, September 5th, 2025
  • Location: Room 612, Wharton San Francisco Campus

Contact

Email: jiannan@umd.edu

CV: Please click here for a current version of my CV.