The adaptive immune system orchestrates the molecular recognition of a seemingly infinite array of antigenic structures through their highly diverse and specific B and T cell receptors. We aim to integrate experimental and computational principles of immunology to understand, predict, and engineer adaptive immune recognition in preclinical and clinical settings such as infection, vaccination and disease. This includes developing immunoinformatics software and machine learning algorithms, high-dimensional profiling of adaptive immune repertoires, and designing computationally-guided therapeutics.