I am a postdoctoral researcher at the Tübingen AI center at the University of Tübingen, Germany working with Jakob Macke.
My research is fairly diverse. Mainly, I try to understand deep learning through theory and empirical observations to then apply it to solve scientific problems. Specifically, I am interested in
- automated model discovery,
- simulation-based inference,
- modeling of dynamical systems,
- foundation models for scientific data.
On the applied side, I develop deep models for (1) automated evaluations of electrocardiogram (ECG) recordings, and (2) for systems pharmacology models, with focus on chronic kidney disease.
Background
- Currently: Postdoctoral fellow at Tübingen University, Germany.
- 2024: Ph.D. in deep learning at Uppsala University, Sweden.
- 2019: M.Sc. in systems and control from TU Delft, the Netherlands.
- 2015: B.Sc. in aerospace engineering from DHBW, Germany.
- 1994: born.
Latest news
April 25, 2025 New Preprint: My first paper on SBI. We integrate the latest foundation model for tabular data, TabPFN, for the use in Bayesian inference, specifically for SBI.
arXiv Code
Dezember 11, 2024, SBI hackathon: We organize a hackathon on the SBI toolbox that we maintain. The hackathon is remote and on-site at the University of Tübingen during 17-21 March 2025.
SBI website details
September 15, 2024, Postdoc: I started my postdoc at the Mackelab as part of the Tübingen AI center at the University of Tübingen, Germany.
June 14, 2024, Ph.D.: I successfully defended my Ph.D. thesis “On Deep Learning for Low-Dimensional Representations”.
pdf DiVA slides
All news can be found here