The field of immunology has experienced a true revolution. Where it once was a largely descriptive field of research, immunologists nowadays generate large, quantitative, and temporal data sets on gene and protein expression, diversity of lymphocyte repertoires, and coevolution of pathogens and the immune system.
For general inquiries, please contact us via mail.
Immunology has thereby become a lot more quantitative. Such quantitative insights are extremely valuable to understand the complexity of the immune system in health and disease. The interpretation of such data sets requires computational approaches and specific expertise.
Computational Immunology at the Center for Translational Immunology brings together bioinformaticians, biostatisticians and mathematical modelers to develop new methodologies to deal with the challenges imposed by this data revolution in immunology.