HANSOL LEE

Hello! I’m a Ph.D. candidate in Education Data Science at Stanford University, advised by Professor Ben Domingue. I study the gap between what algorithmic systems are designed to do and how they actually operate in practice.

My work spans human-AI decision-making, algorithmic fairness, and measurement. I approach these questions from two sides: (1) the deployment side, examining how algorithmic tools reshape human decision-making in practice; and (2) the measurement side, asking whether the models underlying these systems rest on valid empirical foundations. I use methods spanning machine learning, causal inference, and psychometrics.

Before Stanford, I studied Computer Science at Cornell University, advised by Professors Rene Kizilcec and Thorsten Joachims. I am a recipient of the Stanford Graduate Fellowship and co-founder of Learnest, a nonprofit to promote responsible AI in education.