This SU2C Single-Cell Multi-omics Convergence Research Team aims to identify biomarkers that will predict the efficacy and potential side effects of CAR T therapy in individual patients. The team is developing computational models combining topological analysis—looking at multiple data sets across many fields—and machine learning to better understand the causes of therapeutic efficacy and toxicity.