I am a PhD student at the Amsterdam Machine Learning Lab (AMLab) supervised by Sara Magliacane. My PhD is funded by Adyen, a Dutch fintech company providing financial technology services, and I spent a minor part of my time at their offices to collaborate with industry scientists. My research largely revolves around causal discovery for time-series, but on a wider scale I find myself interested in fundamental issues on the intersection of machine learning, statistics, econometrics and philosophy.

I graduated from the University of Oxford with a MSc in Statisticial Science and from the University of Groningen with a BSc in Econometrics and Operations Research and a BA in Philosophy of a Specific Discipline (in my case the social sciences). While in Oxford, I was fortunate to be supervised by Rob Cornish and Arnaud Doucet for my master’s dissertation on the distribution of the coverage of a split conformal prediction set (link).

Before starting my PhD, I spend a short time at ASML as a data analyst for business intelligence, acting as an in-house consultant optimizing business processes through data-driven insights. Afterwards, I moved to a role as researcher in AI for healthcare at the Joint Research Centre (JRC) in Italy, an independent research institute of the European Commission that supports EU policymaking through science. Some of my projects there involved biomedical knowledge graph construction with large language models (link) and conformal risk control for pulmonary nodule detection (link).