My research interests center around computing practices in social prediction systems, including:
computational social science research
government and public-interest technologies
commercial A.I. tools
In particular, I'm thinking about the mathematical operationalization of social constructs, its limitations, and the factors that mediate this translation process— including measurement, power, and law.
I'm also interested in how both data products as well as statistical and computational tools are used to inform policy decisions. Within this area, I am currently exploring state data collection practices, government procurement of algorithmic technologies, and the rise of "evidence-based policy" in academic public policy.
I received my B.A. in mathematics and economics from Pomona College in Claremont, CA.
After graduating, I spent some time in academia doing empirical health economics research at the Harvard Kennedy School and then in tech policy working on antitrust advocacy at the Consumer Federation of America.
These experiences shaped my current interest in the role of computation in both social science scholarship and governance.
june 2022 - I am attending the Doctoral Consortium at FAccT in Seoul
november 2021/february 2022 - I am participating in a workshop about Everyday Misinformation at UIUC