COMPUTATIONAL SYSTEMS IMMUNOLOGY
Our lab develops computational and statistical tools to process and analyze high-throughput biological data. The research is multidisciplinary and involves elements from mathematics, statistics, physics, computer science, biology and medicine. Our main focus is studying the adaptive immune system from a system/repertoire perspective. In particular, we are interested in understanding lymphocyte (T and B cells) repertoire dynamics in healthy individuals as well as in illness states such as infections, autoimmune diseases, aging and cancer. We apply advanced molecular biology methods to produce large sequencing data sets of human lymphocyte receptors, and analyze them using dedicated computational pipelines, in order to obtain meaningful biological insights into the adaptive immune system.