I’m a cognitive scientist and PhD candidate at the NYU Center for Data Science, advised by Brenden Lake and Todd Gureckis. My dissertation (writing in progress) offers theoretical, empirical, and computational advances in the study of goals: how do we represent, reason about, and come up with them? My recent work follows it to study task representations in large language models using mechanistic interpretability tools (as a visiting researcher at Meta FAIR with Adina Williams). I’m currently on the job market for post-PhD roles, focusing on building LLM systems that better understand user intents and pursue complex objectives or continue contributing to other interpretability and alignment efforts.
In my non-academic life, I live with my wife Sarah and our dog Lila, and spend time making homemade hot sauces, playing board games, and lifting weights.
PhD in Data Science
New York University
MPhil in Data Science
New York University
BSc in Computational Sciences
Minerva University