I'm a first year DPhil student interested applying geometric deep learning methods to binding affinity prediction. Specifically, I'm interested in how to best represent a molecule interacting with a protein and developing methods to improve the generalisability of binding affinity models.

Small molecule drug discovery, and machine learning.

I'm a first-year CDT student looking to work on machine-learning techniques for airline revenue management.

MCMC methods, reinforcement learning