I am a second-year PhD candidate at AMLab in Amsterdam, supervised by Sara Magliacane and Herke van Hoof. My PhD is funded by Adyen, where I spent a minor portion of my time (20%). I study causal dynamics in non-stationary settings, including causal discovery, causal representation learning, performative prediction and multi-armed bandits, mostly focusing on time series. My latest work is on the identifiability of Markov switching models (MSMs), accepted at ICML'26.
I graduated with distinction from the University of Oxford with a master's in statistics, where I was supervised by Rob Cornish and Arnaud Doucet. I also obtained a BSc in econometrics and operations research and a BA in philosophy of the social sciences from the University of Groningen, both cum laude. Before starting my PhD, I spent a short period at ASML as a data analyst for business intelligence, and at the Joint Research Centre (JRC) of the European Commission in Italy on AI for healthcare.
For the upcoming academic year (2026-2027), I will supervise thesis projects for the master in AI at the University of Amsterdam. Unfortunately I am not able to supervise students in other programs or universities. If you are a master student in AI at UvA and you are interested to work with me, feel free to reach out!
Resume