I am passionate about teaching, public speaking, and knowledge exchange—both within academia and beyond. I regularly give talks, lectures, and workshops on AI, digital platforms, and computational methods, engaging with students, policymakers, industry professionals, and the general public.

My teaching is interdisciplinary, bridging computer science, political science, sociology, and communication studies. I offer two main types of courses:

• Computational Methods – covering machine learning, data mining, NLP, network science, and data science techniques.
• AI, Information Technology & Society – exploring how technologies like LLMs, search engines, and social media shape politics, governance, and public discourse.

Upcoming Courses & Workshops in Spring 2025

• AI, Politics, Society (University of Bern, invited lecturer)
• Algorithm Auditing Workshop (Freie Universität Berlin, invited lecturer)

I teach and speak at all academic levels—from BA to PhD—and prioritize hands-on learning and real-world applications. My approach makes computational methods accessible, particularly for social scientists.

Beyond academia, I enjoy engaging with non-expert audiences, helping businesses, journalists, and policymakers navigate the impact of AI and digital technologies. I welcome invitations for talks, seminars, and workshops—just send me an email!