Modeling and Systems Immunology

The immune system is nature’s engine for molecular evolution, in which an effective response can be mounted to almost any pathogenic challenge. This requires the generation and processing of a vast number of molecular signals in a short time and poses a unique challenge for computational prediction. As our tools for uncovering genetic and biochemical information about the immune system become ever more powerful, this complex system as a whole can be understood only by applying the most powerful methods for data analysis and computational modeling. Georgia Tech’s internationally recognized capabilities in computational and systems biology, high-throughput data analysis and high-performance computing are being applied to this problem in collaboration with various experimental groups.