Recently, the need for rapid vaccine and antibody-therapeutic development has become widely recognised. Thanks to the vast volume of antibody data now available, computational methods offer perhaps the greatest opportunity to both speed up and reduce the cost of this development process. My DPhil aims to advance this area further by using Machine Learning techniques to identify promising antibody-antigen leads with diverse sequence and structure profiles that can then be taken into the lab.