I am a first-year DPhil student researching efficient data acquisition through an information-theoretic lens, with a focus on Bayesian Experimental Design (BED) and Active Learning (AL). My work aims to improve the scalability of BED and AL, addressing computational bottlenecks such as sampling in high-dimensional parameter spaces (e.g. images), or the combinatorial complexity of searching over possible batches in AL.

Looking ahead, I’m also interested in exploring others areas including generative modelling, and Bayesian optimisation.