I am a fourth-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 (TRAILS) and the Language Science Center (LSC). I am advised by Professor Wedad J. Elmaghraby. I received my Bachelor’s degree in Financial Management and Mathematical Statistics from Xiamen University and a Master’s degree in Applied Statistics from the University of Michigan-Ann Arbor.

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

• 2025 INFORMS Revenue Management and Pricing Section Conference
  • Time: 4:40 PM – 5:40 PM, July 16th, 2025.
  • Location: David Geffen Hall 440, Columbia Business School.

Recent News

• May 30, 2025: Our project received a $10,000 Smith Internal Grant!

• April 24, 2025: One paper is accepted at ICAIL 2025!

• March 6, 2025: Our student chapter hosted the 3rd Smith DOIT Doctoral Consortium!

• October 16. 2024: Our student chapter received the 2024 INFORMS Student Chapter Annual Award - Cum Laude!

• March 26. 2024: Our project received the Faculty-Student Research Award (FSRA, $15,000) from the Graduate School!

• Oct 7. 2023: One paper is accepted at EMNLP 2023!

Contact

Email: jiannan@umd.edu

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