Bryce Corrigan

Bryce Corrigan is a Lecturer and Senior Statistician at the SNF Agora Institute, Johns Hopkins University, where he joined in 2020. He previously served as a Lecturer in Government at Cornell University. At Hopkins, he leads a social statistical consulting portal and teaches graduate and undergraduate courses in data analysis for social science and public policy.

His research focuses on advanced statistical methods for analyzing complex social data, particularly in political science and public policy. Key areas include panel data analysis, causal inference, multilevel modeling, and statistical programming in R, Stata, and Julia. He develops tools for non-parametric smoothing in structural causal models and applies these to questions about democratic health and political campaigns.

The recent articles highlight a strong trend in methodological innovation applied to substantive political questions, especially in campaign dynamics and local fiscal policy. His work bridges rigorous quantitative techniques with real-world policy and democratic challenges, reflecting a commitment to both teaching and applied research.

• Rolling cross-sectional analysis of U.S. campaign dynamics (with Julia Partheymüller)
• Impact of budget consolidation in New York counties (with David Kay)
• Development of R and Julia packages for causal model analysis

Corrigan advises on statistical methodology across Hopkins and contributes to curriculum development in quantitative social science. While no formal grants are mentioned, his development of open-source software packages suggests ongoing project-based research activity.

He is actively involved in building a statistical consulting culture for social scientists at Johns Hopkins through the SNF Agora Institute, supporting researchers across campuses with complex data analysis needs.