Isabelle Lee

I’m a 3rd year ML/AI PhD student at USC, working with Dani Yogatama and Yan Liu. Currently, I’m visiting Harvard, working with David Alvarez-Melis and Naomi Saphra.

I’m interested in interpretability - how we make sense of models, and how it might uncover the underlying science of large-scale models. In particular, I focus on understanding training and reasoning, as well as how these insights can be applied in useful, practical, and actionable ways.

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Updates

Jan '26 FOL-Traces was accepted to the Findings of EACL 2026.

Jan '26 New preprint: Evaluating Large Language Models for Fair and Reliable Organ Allocation

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