Teaching

My teaching philosophy is grounded in the belief that methodological competence is a prerequisite for modern citizenship. I aim to equip students with the “dual profile” needed for the digital age: a deep understanding of political challenges and the technical skills (R, CSS, Experiments) to investigate them.

Course Portfolio

Methods & Data Science

  • Experimental Methods in Political Science (TUM, 2022-2023)
    • Content: Causal inference, survey experiment design, and analysis in R.
  • Data Science with R (Workshop)
    • Content: Web scraping, API access, and dictionary-based analysis.

Substantive Political Science

  • Digital Media, Politics, and Gender (TUM, 2021-2026)
    • Content: Analyzing online political communication, gender bias in algorithms, and hate speech.
  • Online Content Moderation and Free Speech (TUM, 2023)
    • Content: The governance of digital platforms and the tension between free speech and harm.

Mentorship & Outreach

Hack Your Future

One of my core commitments is closing the gender gap in Computational Social Science.

I am the co-founder and organizer of “Hack Your Future,” a specialized Data Science Summer School for female students at the University of Cologne. * Goal: Empowering women to enter data science fields. * Impact: Provided hands-on training in R to female students. * Funding: Secured competitive internal funding (~€15,000) to support the program.

Educational Resources

  • SAGE Research Methods: I was invited to produce an instructional video case study on “Experimental Research on Hate Speech,” widely used for methods training.