T. Ryan Johnson | Department of Political Science

About Me

I am a Ph.D. candidate in the Department of Political Science at Washington University in St. Louis. I use big administrative data, geographic information systems (GIS), and formal models to study how institutional rules and market forces combine to shape the behavior and attitudes of individuals.

Research Interests

Political Methodology: Bayesian statistics, spatial statistics
Formal Theory: political economy

Publication

The Role of Land in Temperature and Tropical Agriculture

T. Ryan Johnson and Dietrich Vollrath

Economica, 2020.

PDF Code DOI

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 the gpml toolkit

Teaching

Saint Louis University, Department of Computer Science

Introduction to Computer Science: Taming Big Data - CSCI 1070 (Fall 2024)

Saint Louis University, Department of Earth and Atmospheric Sciences

Introduction to Geographic Information Systems - GIS 4010/5010 (Fall 2024)

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)