DS100 | Causal Inference, University of Mannheim, Fall 2024 (with Prof. Marc Ratkovic).
Topics included difference-in-differences, matching, power analysis, decision trees and random forests, entropy balancing, causal forests, and regression discontinuity design.
DS200 | Sampling and Data / Bayesian Statistics and LLMs, University of Mannheim, Fall 2024 (with Prof. Marc Ratkovic).
Topics included Bayesian regression and statistical computing, shrinkage, MCMC methods, conjoint experiments, multilevel regression and poststratification (MRP), and large language models and chatbots.
Machine Learning: Applications in Social Science Research, University of Michigan, Summer 2023 (with Prof. Chris Hare). [Course website]
Institute for Data Science and Big Data, Center for Data Science, American University, Winter 2022 (with Prof. Ryan Moore). [Course website]
Bayesian Statistics for Social and Biomedical Sciences, American University, Fall 2021 (with Prof. Jeff Gill). [Course website]
Introduction to Political Science Research, American University, Spring 2020 (with Prof. Andrew Flores)