I develop and train deep learning models for T-cell receptor structures. I'm interested in training models that retain equivariance, merge sequence and structure information and can be injected with conditions or constraints. I'm also interested in the structure of the interface between TCRs and their pMHC antigen. Beyond my research I'm passionate about improving gender representation in STEM and have acted as president of the Oxford Wom*n in CS society.