Timo Freiesleben

Hi visitor, welcome to my personal website. I am a postdoc at LMU Munich working on topics like:

• Epistemology of machine learning (e.g. explainable artificial intelligence, statistical learning theory, causal inference),
• Philosophy of science (e.g. robustness, scientific representation, predictive Modeling), and
• AI ethics (e.g. algortihmic recourse, performativity, contestability).

Short Bio:
My current position is at the Munich Center for Mathematical Philosophy (LMU Munich), where we have a wonderful group of researchers working on the philosophy of machine learning. Particularly, I am part of the Emmy Noether research group "From Bias to Knowledge: The Epistemology of Machine Learning", led by Dr. Tom Sterkenburg and I am also a member of the Munich Center for Machine Learning.

Before my current position, I was a postdoc in the philosophy and ethics group at the Machine Learning in Science Cluster at the University of Tübingen with Dr. Thomas Grote. I did my PhD at the Graduate School of Systemic Neurosciences (GSN) under the supervision of Prof. Stephan Hartmann on the question what explainable AI explains. Before my PhD I studied mathematics, philosophy of science, computer science and neuroscience in Tübingen, Oslo, and Munich. You can find my complete CV here (Version 11-2025).

Beyond the above topics, I am interested in classical literature, modern physics, existentialist philosophy, hiking, football, stand-up-paddling, cooking, board games, and many more things.

Find me on google scholar