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 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.