About Me

Welcome! I am a PhD Candidate in Artificial Intelligence at Imperial College London, and my current research focus is on robustness and generalisation in (deep) reinforcement learning. Besides, I am interested in causality, statistics and systematic investing. At Imperial, I am one of the organisers of the Imperial College Autonomous Reasoning & Learning (ICARL) group, where we discuss all things reinforcement learning. I am also a part of the Centre for Doctoral Training in Safe & Trusted AI and the Causal Incentives Working Group led by Tom Everitt (Google DeepMind).

Prior to my doctorate studies, I spent 2.5 years as a data scientist at causaLens – that experience inspired me to do scientific research on robust and trustworthy AI systems. Also, I worked as a quant in asset management in London and the Netherlands for 1.5 years.

I earned my MSc in Econometrics at Erasmus University Rotterdam and BSc (Hons) at Higher School of Economics, majoring in Mathematical Economics and minoring in Data Science & Machine Learning.

I hold a UK Global Talent visa as an emerging leader in AI & ML. I have received multiple academic merit-based scholarships, including full funding for my PhD and the Holland Scholarship for excellent incoming master’s students from outside of the EEA.