at the University of Michigan
Winter 2018:
Sampling Theory
(undergraduate level)
Teaching Assistant – Department of Statistics.
Fall 2018:
Intro to LaTex, R and Programming Logic
(graduate level)
Principal Instructor – Department of Political Science.
Winter 2019:
Intermediate Programming Topics for Social Research
(graduate level)
Principal Instructor – Department of Political Science.
Fall 2020:
Intro to LaTex, R and Programming Logic
(graduate level)
Principal Instructor – Department of Political Science.
Winter 2021:
Intermediate Programming Topics for Social Research
(graduate level)
Principal Instructor – Department of Political Science.
Fall 2021:
Statistical Methods in Political Research I
(graduate level)
Teaching Assistant – Department of Political Science.
Winter 2022:
Introduction to Bayesian Statistics
(graduate level)
Teaching Assistant – Department of Political Science.
Fall 2022:
Advanced Quantitative Empiric Methods
(graduate level)
Teaching Assistant – Department of Political Science.
Winter 2023:
Intermediate Programming Topics for Social Research
(graduate level)
Principal Instructor – Department of Political Science.
at the University of Chicago
Fall 2024:
Perspectives on Computational Analysis
(graduate level)
Principal Instructor – Computational Social Sciences.
Winter 2025:
Interpretable and Explainable Machine Learning – from Prediction to Knowledge
(graduate level)
Principal Instructor – Computational Social Sciences.
Spring 2025:
LargeScale Computing for the Social Sciences
(graduate level)
Principal Instructor – Computational Social Sciences.
at the University of Illinois Urbana-Champaign
Fall 2025:
Data Science Methods & Machine Learning
(undergraduate level)
Principal Instructor – Department of Political Science.
Fall 2025:
Introduction to Supervised Machine Learning
(graduate level)
Principal Instructor – Department of Political Science.
