T. Ryan Johnson
About Me
I am a Ph.D. candidate in the Department of Political Science at Washington University in St. Louis and on the academic job market. I have a broad interest in understanding the ways that institutional rules and market forces combine to shape the behaviors and attitudes of party elites, candidates, and voters. My work uses big administrative data, geographic information systems (GIS), and formal models of choice to study how institutional legacy and climate affect political behavior.
Research Interests
- American Politics: climate, representation and electoral systems
- Political Methodology: Bayesian machine learning, spatial statistics
- Formal Theory: political economy, structural estimation
Publication
Working Papers
- "Kriging for Robust Standard Errors"
- "
Spies in a Barrel: When to Reel in Espionage " w/ Afiq bin Oslan
Research in Progress
- "Flood Risk and Turnout"
- "Modeling Spatial Effects with Gaussian Processes"
- "Estimating the Random Coefficients Logit with Voter Files"
Software
gpd (Gaussian process derivatives) , an addon for thegpml toolkit.
Current Teaching
Saint Louis University, Department of Computer Science
Saint Louis University, Department of Earth and Atmospheric Sciences
Past Teaching
Washington University in St. Louis, Department of Political Science
TA for PhD courses:
- Math Camp (Summer 2021, Summer 2022)
Applied Statistical Programming (Spring 2022) - Formal Models of Political Institution (Fall 2021)
- American Political Institutions (Fall 2021)
- Causal Inference (Spring 2021)
- Computational Social Science (Fall 2020)
- Theories of Individual and Collective Choice II (Spring 2020)
- Mathematical Modeling (Fall 2019)
Sam Houston State University, Department of Mathematics & Statistics
- Developmental Mathematics II (Fall 2011, Spring 2012, Fall 2012, Spring 2013)
Powered by Jekyll and Minimal Light theme.