Teaching

Designed the weekly structure, wrote all prompts and assessments, and graded all written work. Co-developed two discussion boards in which students tracked political developments in an assigned country or topic.

Sole instructor for an asynchronous course on local government structure, elections, intergovernmental relations, and urban service provision. Supervised civic-engagement assignments and carried out all grading and feedback.

Led four discussion sections of approximately 20 students each, covering game theory, sampling and margin of error, and network analysis. Graded weekly problem sets and held review sessions before exams.

Guided in-class work on data quality, sampling bias, network, geospatial, and time-series visualizations, providing on-the-spot instruction and guidance to student teams. Graded all homework and examinations.

Designed and taught a full empirical workflow, from data import and cleaning through model specification and interpretation, for graduate students with limited quantitative background.

Co-taught with Eric Ngo. Led hands-on applications in Python, using Hugging Face pipelines and the OpenAI API to classify corruption-related sentences drawn from party platform data.