About Me
I’m a postdoctoral researcher at New York University, working with Mark Ho and Ilia Sucholutsky on how and when people trust and defer to AI, and what makes AI worth deferring to in the first place.
I completed my Ph.D. in Psychology at Princeton University, advised by Yael Niv, with Tom Griffiths as my secondary advisor. I built computational models of the cognitive strategies people use when they teach, and of how those strategies can be nudged toward more effortful, more effective ones. I then asked whether large language models teach the same way, and whether the same nudges work on them. Learn more about my research.
Before Princeton, I built computational models of spatial navigation with Arne Ekstrom and Robert Wilson at the University of Arizona. I hold a B.S. in Physics from UC Davis.
Recent News
- Aug 2026 — Our paper on mentalizing and heuristics in teaching is out in Nature Human Behaviour! Paper
- May 2026 — Started as a postdoctoral researcher at New York University, working with Mark Ho and Ilia Sucholutsky.
- Apr 2026 — Defended my Ph.D. at Princeton University, advised by Yael Niv and secondary advisor Tom Griffiths.
- Apr 2026 — Workshop paper at ICLR 2026: “Do Large Language Models Mentalize When They Teach?” arXiv
- Nov 2025 — Joined the AI team at BODi as a part-time AI Engineer.