- Published multiple papers such as 'Active Learning Policies for Solving Inverse Problems' (NeurIPS ReALML Workshop 2023), 'Learning objective-specific active learning strategies with Attentive Neural Processes' (ECML 2023), etc.
- Participated in various academic conferences and media appearances, such as the Dutch National AI Debate, Pakhuis de Zwijger's panel on AI risks, etc.
Research Experience
- Senior ML researcher at Qualcomm AI
- Completed research internships at Facebook AI Research (FAIR) and Qualcomm AI
Education
- PhD in Machine Learning, 2024, University of Amsterdam, Advisor: Max Welling
- MSc in Theoretical Physics, 2016, University of Amsterdam
- BSc in Physics and Astronomy, 2014, University of Amsterdam
Background
Senior machine learning researcher, focusing on LLM reasoning and safety. Interests include AI safety, Bayesian methods, effective altruism, and musical theatre.
Miscellany
Concerned about the risks of transformative AI and has written on this topic in the Dutch national newspaper NRC.