Isabelle Lee

I’m a 4th year ML/AI PhD student at USC, working with Dani Yogatama and Yan Liu. I’m also a visiting researcher at Harvard, working with David Alvarez-Melis. My work is supported by the Viterbi School of Engineering Graduate Fellowship and Coefficient Giving’s Technical AI Safety Research Grant.

I’m broadly interested in training, reasoning, and interpretability - how we make sense of models, and how it might uncover the underlying science of large-scale models. In particular, I aim to (1) predict training, and (2) predict failures.

Currently, I’m exploring dynamical systems and physics-inspired approaches to analyze small-scale toy learning problems, as well as predicting/controlling larger-scale training from developmental perspectives.