I am a fourth-year PhD student in Machine Learning at the University of Amsterdam, advised by Prof. Joris M. Mooij. My main research interest is (deep) generative modeling from a causal point of view. In particular, I work on learning causal representations of complex (dynamical) systems.

Prior to my PhD, I obtained a MSc degree in Mathematics, where Dr. Urs Schreiber was my thesis advisor. Before that, I did a BSc in both Mathematics and in Physics and Astronomy.

During my studies I had a short interlude in particle physics research at CERN.

For the most up-to-date publication list, see my Google Scholar page.