Teaching

As Instructor

• What to learn from the impossible? Formal and philosophical topics of impossibility theorems (with Balthasar Grabmayr and Timo Freiesleben), Seminar, University of Tübingen, Summer 2025. [Syllabus]
• Philosophy of Science for Machine Learning (with Konstantin Genin), Seminar, University of Tübingen, Winter 2024/25. [Syllabus]
• Data Literacy: Machine Learning, Data Visualisation, and Philosophy of Statistics (with Simon Döbele and Konstantin Lehmann), Seminar, University of Bayreuth, Summer 2022. [Syllabus]

As Teaching Assistant

• From Deep Learning to Rational Machines (Hong-Yu Wong and Konstantin Genin), Seminar, University of Tübingen, Winter 2023/24.
• Philosophy of Science for Machine Learning (with Konstantin Genin), Seminar, University of Tübingen, Winter 2023/24. [Syllabus]
• Beyond Fairness – A socio-technological view on machine learning (Bob Williamson), Lecture, University of Tübingen, Winter 2023/24.
• Philosophy of Science, Lecture, University of Bayreuth, Winter 2017/18.
• Philosophy of Economics, Lecture, University of Bayreuth, Summer 2018.
• Academic Writing and Presenting, Seminar, University of Bayreuth, Summer 2018.