I am a 1st year DPhil student in the Oxford Protein Informatics Group (OPIG) in the Department of Statistics and I am interested in developing deep learning methods for computational drug development. Currently, the production of new drugs requires tedious wet lab experiments that are associated with high costs. Computational methods have the potential to greatly facilitate the drug discovery process. Specifically, my research focuses on antibodies, a class of proteins of great interest to the pharmaceutical industry, and I am working on improving methods for predicting antibody structures and flexibility from sequence data. Before starting my PhD at the Department of Statistics, I completed an undergraduate degree in Biochemistry at UCL (2020) and a Master's degree in Biochemistry at the University of Oxford (2022).