I am a PhD student in Computer Science at University College London, supervised by John Shawe-Taylor and Thore Graepel. My work focuses on multi-task reinforcement learning, a subfield of machine learning that aims to improve the efficiency and generality of learning algorithms by transferring knowledge across related domains.
I am also involved in effective altruism, a social movement that applies evidence and reason to find the most effective ways to help others. In particular, I am interested in ensuring that future technologies such as advanced artificial intelligence will be used responsibly, with a focus on avoiding worst-case outcomes.
I graduated in 2016 from Ulm University with a Master’s degree in Mathematics and a Bachelor’s degree in Computer Science and Physics. My studies focused on statistics, probability theory, numerical mathematics, quantum physics, and theoretical computer science. After graduating, I worked as a quantitative trader at Jane Street Capital.