ASA Student Paper Award
My paper “Characterizing Retrospective Constraints of Survey Designs for Estimating Population-level Causal Effects” has been selected as a winner of the American Statistical Association’s 2026 GSS/SSS/SRMS Student Paper Competition!
Sean Tomlin, PhD
Biostatistician at Medpace, Inc.
My methodological research centers on causal inference from observational data, with applications to health policy evaluation using retrospective and prospective cohort studies. A parallel line of work develops formal identification theory for population-level causal effects in retrospective studies leveraging general-purpose survey data. Alongside this, I bring extensive collaborative experience in clinical research, having served as lead biostatistician on multiple Phase I–II industry-sponsored trials.