I am Joao Alipio-Correa, a Ph.D. student in Political Science and an M.S. student in Statistics at the University of Pittsburgh. My research develops methods for causal inference under departures from standard identification assumptions. I focus on frameworks that relax independence and stability conditions, including settings with spatial or temporal dependence, interference between units, and other forms of structured heterogeneity. More broadly, I am interested in nonparametric theory, sensitivity analysis, and design-based approaches to strengthen causal claims in observational settings in the social sciences.

Thanks for visiting! Feel free to explore my work and reach out if you would like to connect.