About

I am a first-year DPhil candidate in the Machine Learning Research Group at the University of Oxford, and a member of the Autonomous Intelligent Machines and Systems Centre for Doctoral Training (AIMS CDT).

My broad research interests are in deep learning, reinforcement learning, and inductive biases, particularly through geometric deep learning/graph ML or physics/dynamics. I’m also interested in probabilistic methods including Bayesian deep learning, Gaussian processes, variational inference and probabilistic numerics (Bayesian optimisation/quadrature).

I am a member of the HumBug project, which uses deep learning to detect and identify mosquito species by their flight tone using budget smartphones. I completed my MEng in Engineering Science, specialising in information engineering, at the University of Oxford, and was supervised by Prof. Michael Osborne in my fourth-year project.

In my spare time I enjoy reading, playing D&D, and exploring new pubs, especially those with real ale. I maintain a table of ratings and useful information about every pub in Oxford here.