Teaching

University of Cologne

Lectures

• Introduction to Machine Learning (every summer semester since SS 26)
• Advanced Machine Learning (every winter semester since WS 23/24)
• Machine Learning (every summer semester since SS 23)

Seminars

• Large Language Models: Challenges & Opportunities (WS 26/27)
• AI for Science (SS 26)
• AI Safety (WS 25/26)
• Limitations of Large Language Models (SS 25)
• Adversarial Machine Learning (WS 24/25)
• Trustworthy Machine Learning (SS 24)
• Graph Neural Networks (WS 23/24)

Saarland University

Lecture

• Elements of Machine Learning (WS 22/23). Co-taught with Prof. Jilles Vreeken.

Seminars

• Classic Contributions to Machine Learning (SS 22). Co-taught with Rebekka Burkholz.
• Trustworthy Graph Neural Networks (WS 21/22)

TU Munich

Lecture

• Machine Learning (WS 20/21). Co-taught with Prof. Stephan Günnemann.

Seminars

• Robust Data Mining Techniques (SS 17)
• Efficient Inference and Large-Scale Machine Learning (SS 17)

Lab course

• Large-Scale Graph Analytics and Machine Learning (SS 16)