I am a postdoc and computational cognitive scientist in the Department of Psychology at Princeton, working with Natalia Vélez in the CoLab.
Broadly, I am interested in studying the cognitive processes underlying efficient and strategic human communication. More specifically, I am currently fascinated by adaptive and recursive social inferential processes, i.e. I think about you thinking about me thinking about you, etc.; and what information we know individually and in combination gets updated over the course of an interaction. Methodologically, I employ computational models, corpus analysis, and behavioral experiments. Theoretically, I am inspired by Bayesian inference, pragmatics, cultural evolution, and game theory. Essentially, I am continually impressed that humans have the cognitive capabilities to teach (and learn), to deceive (and detect deception), and to selectively transmit (and selectively receive) relevant information.
Previously I completed my Ph.D. at the University of California, San Diego in 2023 working with Ed Vul, Adena Schachner, and Judy Fan. My research was supported by a NSF Graduate Research Fellowship and an ACM SIGHPC Computational & Data Science Fellowship. Before that, I triple majored in Brain & Cognitive Sciences, Statistics, and Linguistics, and minored in Computer Science, at the University of Rochester in 2018 working with Steve Piantadosi and Florian Jaeger.
