I teach across undergraduate and graduate levels at UC Irvine, with a focus on political analysis, digital politics, and applied statistics. My courses explore how data, algorithms, and media shape political behavior and public life—from misinformation and activism on social media to causal inference and machine learning. I emphasize hands-on learning and critical thinking, blending theory with practice. Students learn how to design research, analyze real-world data (including public opinion and social media), and engage responsibly with emerging technologies.
UC Irvine, Undergraduate:
- Internet, Social Media, & Politics – Pol Sci 127B (Winter 2025)
- Introduction to Political Science: Political Analysis – Pol Sci 11A (Winter 2025)
UC Irvine, Graduate:
- Introduction to Statistics for Political Science I – Pol Sci 219A (Fall 2025)
- Introduction to Statistics for Political Science II – Pol Sci 219B (Winter 2025)
- Introduction to Statistics for Political Science III – Pol Sci 219C (Spring 2025)
Summer Courses:
- Survey Weighting and Imputation (Summer School in International Survey Methods, Vanderbilt University)
- Data Analytics (UC Irvine, ICS Summer Academy)
Past Courses:
- Introduction to Machine Learning (UC Irvine, Pol Sci 219/UPPP 275)
- Causal Inference (UC Irvine, Pol Sci 219/UPPP 275)
- Herramientas Avanzadas de Machine Learning para el Análisis Social y Político (Universidad Católica del Uruguay, Winter School)
- Advanced Machine Learning for Social Scientists (Essex Summer School, University of Essex)
- Using Machine Learning Algorithms to Detect Election Fraud (UCCSS, Lecture)
- Special Topics in Research Methods: Causal Inference (UGA, POLS 8500)
- Public Opinion & American Democracy (UGA, POLS 4510)
- Special Topics in American Politics: Civic Engagement (UGA, POLS 4790)
- Introduction to Political Science (UGA, POLS 2000)