I am a Machine Learning Scientist at Netflix where I get to ask computational social science-y questions and do fun stuff with massive datasets.
Previously I studied the cognitive processes underlying strategic human communication and recursive social inference, e.g. deception, using computational models, corpus analysis, and behavioral experiments. From 2023 to 2024, I did a postdoc at Princeton with Natalia Vélez in the CoLab. 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.
