Fakultät für Philosophie, Wissenschaftstheorie
Munich Center for Mathematical Philosophy (MCMP)
I hold a BSc in Artificial Intelligence (Amsterdam), a MSc in Logic (Amsterdam), a MSc in History and Philosophy of Science (Utrecht), and a PhD in Philosophy (joint at the University of Groningen and the CWI, the Dutch national research center for mathematics and computer science), all awarded cum laude. In my PhD thesis (2018) I investigated the computability-theoretic approach to probabilistic “universal prediction” as a link between Carnap's inductive logic and modern approaches in machine learning.
My research concerns the philosophy of induction and the foundations of (information-theoretic) statistics and machine learning.
- The meta-inductive justification of induction: The pool of strategies, Philosophy of Science.
- The meta-inductive justification of induction, Episteme.
- Putnam’s diagonal argument and the impossibility of a universal learning machine, Erkenntnis.
- A generalized characterization of algorithmic probability, Theory of Computing Systems, 2017.
- Solomonoff prediction and Occam’s razor, Philosophy of Science, 2016.
Wolfgang Stegmüller Award for my PhD thesis