Yeonbin Son is an assistant professor at the University of Virginia School of Data Science. Her research focuses on human-centric recommender systems, which develop recommendation models, evaluate AI performance in terms of the information quality of outputs, and design human-in-the-loop frameworks that collect human feedback to enhance AI performance.
Prior to joining the faculty at UVA, she received her Ph.D. in Systems Engineering from UVA, where she researched human modeling, human-AI interaction, and human performance evaluation. She earned her M.S. and B.S. in Industrial Engineering from Kyonggi University in South Korea, where she focused on developing machine learning-based information systems for diverse industrial fields including manufacturing, e-commerce, public policy, and healthcare.
Beyond academia, Son has entrepreneurial experience as the CEO and data scientist of Desserting Inc., a dessert e-commerce startup she founded and operated, bringing practical industry insight to her research on human-centric AI systems.
