Cracking the TCR code with scalable molecular tools We aim to better understand how the immune system can recognize disease by examining the interactions between T cell receptors (TCRs) and disease-associated antigens. These interactions are currently hard to study at scale. We will develop tools that allow high-throughput screening to identify TCR-antigen binding pairs. We will then train an artificial intelligence model to predict immune interactions. This project will extend our toolbox to gain critical knowledge about our immune system, paving the way for engineering T cell therapies, vaccines, and diagnostic tools.
