I’m a PhD student at Magdalen College at the University of Oxford, in the Autonomous Intelligent Machines and Systems CDT (AIMS) programme.
I’m broadly interested in Bayesian machine learning, believing that uncertainty quantification is essential, especially for optimal decision making. I also want to develop general techniques and algorithms which enable inference to be applied to many real-world scenarios, including including improving ‘robustness’ (e.g. traditional adversarial robustness, as well other techniques such as differential privacy) as well as data efficiency (spanning semi-supervised learning to meta-learning).
I also identify strongly with the effective altruism community and hope to use my career to make a positive social impact.