Jack grew up in Darlington and studied Mathematics at Imperial College London, then after a few years working in quant finance returned for a master’s in Statistics at ETH Zürich. He is particularly interested in causality, with application in out-of-distribution generalization, fairness, and explainability, and wrote his master’s thesis on causal representation learning in computer vision. He is excited to research these topics at StatML, starting with a mini-project on algebraic statistics under Prof. Robin Evans. That said, he is also interested in effective altruism and AI safety, and fears that causal inference could be the missing piece to AGI. Besides academics, he enjoys travelling, playing the piano, and watching Éric Rohmer films.
Jack Foxabbott
