Awarded an Andrew Carnegie Fellowship in 2024; her research is supported by the National Science Foundation Methodology, Measurement, and Statistics (MMS) program, the Carnegie Corporation of New York, the Vaccine Confidence Fund, and The University of Chicago’s Data & Democracy Research Initiative.
Research Experience
Was a post-doctoral fellow in Susan Athey's Golub Capital Social Impact Lab at the Stanford Graduate School of Business. Before her PhD, she worked on policy research for several years in West Africa with the World Bank and the United Nations.
Education
PhD in Political Science and Statistics & Data Science from Yale; Masters in Public Affairs from Princeton School of Public and International Affairs; Undergraduate degree from Grinnell College.
Background
Assistant Professor in the Department of Political Science at The University of Chicago. Her research integrates machine learning methods with experimental design to answer causal questions, and examines online behavior to understand how people change their views and attitudes. She also has affiliations with the Department of Statistics, Committee on Data Science, and the PhD program in political economy.
Miscellany
Spent a fellowship year in Lesotho after college, followed by two years as a Peace Corps volunteer in Madagascar.