I’m a 2nd year PhD student at USC, working with Dani Yogatama. I’m interested in interpretability - how we make sense of machine learning models, and how interpretability might uncover the science underpinning large-scale models. I’m particularly interested in Emergence/Self-Organization, which I loosely describe as component-level interactions leading to a system-wide pattern. My goal is to study phenomena like that with tools like interpretability. I used to study Physics and Complex Systems, so I borrow some approaches from that toolbox. I also study emergent abilities of LLMs such as reasoning.

📡🛰️ I’m organizing for Fatima Fellowship. We’re recruiting both mentors and mentees. Please consider applying!