HANSOL LEE

Hello! I’m a Ph.D. candidate in Education Data Science at Stanford University, advised by Professor Ben Domingue. I study how data and algorithms are used to evaluate people, and whether those systems are valid and fair.

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. My work spans learning analytics, human-AI decision-making, and algorithmic fairness, grounded in measurement and causal inference.

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.