How specific antibodies and antigens bind to one another informs a range of treatment strategies, including cancer immunotherapies. However, current methods only allow researchers to evaluate only one or just a few interactions at a time. Wengong seeks to change this with his BroadIgnite award, and plans to build a novel deep-learning model to predict multiple antibody–antigen binding relationships at once—a tool that can advance disease areas, such as cancer, autoimmune disorders, and infectious disease.