Yunyi Li

Ph.D. Candidate, McCombs School of Business, The University of Texas at Austin

Hello! Is it me you’re looking for? I am Yunyi Li, a Ph.D. candidate in Information Systems-Computational Data Science at McCombs School of Business @ UT Austin, advised by Professors Maytal Saar-Tsechansky and Maria De-Arteaga. I am also a Good Systems researcher. I hold a master’s degree in Informatics and a bachelor’s degree in Business Analysis & Information Systems from the University of Iowa.

My research focuses on advancing trustworthy AI with the goal of maximizing the positive societal impact of social-technical systems while mitigating their potential harms. Motivated by the risks of overlooking label bias, part of my research characterizes its harmful effects and develops strategies to mitigate them, fostering data integrity in an increasingly data-dependent world. More broadly, my work bridges the domains of data integrity, algorithmic fairness, human-AI interaction, and interpretable machine learning, with the overarching goal of enhancing the trustworthiness of socio-technical systems to better serve both organizations and society.

news

Jul 08, 2025 Our latest work, “PIE—Partially Interpretable Estimators with Refinement”, is published in the INFORMS Journal on Computing!
Apr 01, 2025 I am invited to present my latest research at the 21st Big XII MIS Research Symposium.