I am a 2nd year DPhil student in the Department of Statistics funded by the Engineering and Physical Sciences Research Council (EPSRC). I am currently researching the impact of structural data drift on deep leaning scoring functions, algorithms that predict a binding affinity between a protein and a small chemical compound or drug. I have a strong interest in the role of protein flexibility in small molecule drug design and wish to incorporate this information into biological models of drug binding. I have an integrated undergraduate masters degree in Biochemistry from the University of Oxford (2021).

Small molecule drug design Deep learning approaches to predicting protein-drug dynamics Structural deep learning prediction tools and how they help inform us of protein dynamics

I am a third-year DPhil in Statistics student supervised by Prof. Geoff K Nicholls. I graduated from Australian National University (ANU) with majors Mathematical Finance and Statistics.

My research interests are in Bayesian Statistics and Computational Statistical Methods. I am focusing on ranking problems with partial orders.

Hi! I'm Ollie, a SABS PhD student funded by the EPSRC. Previously, I completed my MBiochem here at Oxford, and now work on applying ML to therapeutic antibody discovery.

Deep learning for therapeutic antibody optimisation

I'm a first year DPhil student, co-supervised by Yee Whye Teh and Jakob Foerster. Before Oxford, I was a Software Engineer at Meta for over 3 years. I completed my Bachelor and Masters in Computing at Imperial College London.

I am interested in improving the generalizability and robustness of ML models. Particularly, I'm interested in structural causal models, latent variable models and causal structure learning.