Fangzhi Li is a master’s student in Computer Science at William & Mary, with a concentration in Computational Operations Research. She received her B.S. in Data Science and Mathematics from William & Mary, graduating summa cum laude, and was inducted into Phi Beta Kappa. Her research interests include artificial intelligence, AI agents, databases, and operations research. Her work focuses on developing intelligent and data-driven systems for complex decision-making, information access, and optimization tasks. She has experience building Text-to- SQL systems, retrieval-augmented generation pipelines, and optimization-based scheduling applications. Her current work focuses on the use of AI agents, database systems, and computational optimization methods for reliable information retrieval and decision support. More broadly, she is interested in applying machine learning and analytical modeling to practical problems in healthcare, public services, and operations.
