I am 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, settings with interference between units, partially identified settings, and other violations of classical conditions. I build detection and correction tools that let researchers assess and recover credible causal estimates when these assumptions break down. More broadly, I am interested in nonparametric theory, sensitivity analysis, and design-based inference for observational studies in the social sciences.