Teaching
My courses have been awarded an Affordable UF badge for materials costing less than $20 per credit hour.
Graduate
POS 6737 · Political Data Analysis
Graduate. Fall 2026.
Required PhD methods course: probability theory, statistical inference, the linear model, and introduction to causal inference.
POS 6747 · Topics in Political Methodology (Linear Models)
Graduate. Spring 2026.
Graduate-level introduction to statistical modeling, with a focus on OLS regression. The course covers mechanics, inference, DAGs, bad controls, interactions, diagnostics, potential outcomes, matching, and panel / fixed-effects models.
INR 6607 · International Relations Theory
Graduate. Most recently Fall 2024.
Graduate proseminar in IR theory: the major paradigms, debates, and contemporary research programs in the field.
Math Workshop for Political Science
Graduate. Pre-term refresher, Fall 2025.
A pre-term refresher covering notation, basic mathematics, linear algebra, calculus (differentiation, integration, optimization), and constrained optimization. Supplemented by Khan Academy and other video resources. Designed to prepare incoming political science graduate students for quantitative methods coursework.
Undergraduate
INR 4931 · Political Network Analysis
Undergraduate. Most recently Spring 2024.
Networks are ubiquitous in politics: countries are linked in trade and alliance networks, legislators are tied through co-sponsorship, rebel groups are connected by information flows. This course introduces network concepts and methods through political-science applications. No formal prerequisites, though prior data-analysis experience helps. Two weekly meetings combine conceptual instruction with applied work on real political data.
INR 4931 · International Networks
Undergraduate. Previously Fall 2019.
Undergraduate course examining international relations through the lens of network analysis: trade, alliance, conflict, and information networks among states and non-state actors.
POS 3780 · Data Visualization and Literacy
Undergraduate. Previously Fall 2017.
Tools and principles for data visualization and exploratory analysis in political science. Marries the substance of political theory to the methods of data visualization. No statistical background required — works as either a standalone course or a gateway to advanced data analytics.