About Me
Welcome! I am a PhD Candidate in Artificial Intelligence at Imperial College London, where I work on reliability and robustness of deep reinforcement learning systems. My current research focuses on two questions:
- Safe neural policy updates: Can we update a neural policy while preserving its safety properties?
- Provable mitigation of catastrophic forgetting: In continual reinforcement learning, can we guarantee that a neural policy does not forget behaviour learned on previous tasks?
At Imperial, I am part of the Centre for Doctoral Training in Safe & Trusted AI and the Formal Methods in AI Lab. I am also one of the organisers of the Imperial College Autonomous Reasoning & Learning group, where I help coordinate research seminars and reading groups.
During my PhD, I completed a quantitative research internship at Cubist Systematic Strategies, Point72. Before starting my doctorate, I spent two and a half years as a data scientist at causaLens and worked in quantitative roles in asset management in London and the Netherlands.
I hold an MSc in Econometrics from Erasmus University Rotterdam and a BSc with Honours from the Higher School of Economics, where I majored in Mathematical Economics and minored in Data Science and Machine Learning.
I was awarded a UK Global Talent visa as an emerging leader in AI and machine learning. I have also received several merit-based academic scholarships, including full funding for my PhD and the Holland Scholarship for outstanding incoming master’s students from outside the EEA.