About
Hi, welcome to my personal website! I am a Junior Professor (Juniorprofessor) for Philosophy of Artificial Intelligence at the Otto von Guericke University Magdeburg, where I am part of the Department of Philosophy in the Faculty of Humanities. My work focuses on:
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Epistemology of machine learning
(e.g. explainable artificial intelligence, benchmarking, causality) -
Philosophy of science
(e.g. robustness, scientific representation, predictive modeling) -
Ethics of AI
(e.g. contestability, algorithmic recourse, performativity)
Before moving to Magdeburg, I was a postdoctoral researcher at the Munich Center for Mathematical Philosophy (LMU Munich). There, I was part of a wonderful research group working on the Philosophy of Machine Learning, led by Dr. Tom Sterkenburg. I remain an external member of the MCMP and a member of the Munich Center for Machine Learning. Prior to my time in Munich, I was a postdoctoral researcher in the philosophy and ethics group of the Machine Learning in Science Cluster at the University of Tübingen, working with Dr. Thomas Grote.
I completed my PhD at LMU Munich under the supervision of Prof. Stephan Hartmann, on the question of what explainable AI explains. I studied mathematics, philosophy of science, computer science, and neuroscience in Tübingen, Oslo, and Munich.
News
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November 2026
I am starting as Junior Professor for Philosophy of Artificial Intelligence in the Department of Philosophy at the Otto von Guericke University Magdeburg. My page at OVGU →
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October 2026
Our paper Explainable AI Isn't Enough! Rethinking Algorithmic Contestability, joint work with Kristof Meding and Gunnar König, received the Best Paper Award at the Ninth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026). MCML news →
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September 2026
The Benchmarking Epistemology: Validity Theory for Evaluating Machine Learning Models, joint work with Sebastian Zezulka, is now published in Philosophy of Science.
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