I teach introductory economics to non-business majors and guest-lecture on applied data methods. My approach centers active-learning modules, clear rubrics, and real policy examples that make core economic ideas tangible.
A one-semester introduction to microeconomics and macroeconomics for non-business majors, built around active-learning modules, clear assessment rubrics, and policy-framework examples.
Student evaluations: 4.5 / 5 (Fall 2025) · 4.6 / 5 (Spring 2026)
Mapping and geospatial analysis in Python, causal research design, and reproducible R/Python pipelines that translate technical findings for stakeholder and policy audiences.
Ratings are mean overall-instructor scores from official University of Arkansas student evaluations (5-point scale).