We study one of nature's most amazing creations, the adaptive immune system, from a computational and information-centric perspective. How do cells in the immune system process information? How do they learn, forget, and get confused? How do they collaborate with each other to make better decisions collectively than they could individually? We strive to harness the insights we gain for the benefit of both immunology and computer science. We have been involved in cancer research, the development of vaccines, and research into viruses, but we have also made important contributions to building better nature-inspired machine learning algorithms. Our group is diverse in many respects and hosts computer scientists, a medical doctor and a molecular biologist under the same umbrella. We are passionate about good science and we care about doing things well and getting them right.
We are a multidisciplinary team consisting of a biologist, a medical doctor, and three computer scientists.
Causal Inference Bayesian Networks
Artificial Immune Systems T Cell Immunology
Clinical Trials Medical Oncology Tumor Immunology Computational Oncology
T Cell Dynamics Complex Systems High-Performance Computing
T Cell Immunology Modelling Simulation Causal Inference
Computational Immunology T-Cell Collectives T-Cell Migration T-Cell Repertoires Cellular Potts Models
You can find our group on the 5th floor of the Radboud Institute for Molecular Life Sciences (RIMLS) building (Geert Grooteplein 24-26). To get there from the train station, you can take the “Heyendaal Shuttle” towards the campus until you reach the the stop “Huygensgebouw”. Staying on the same side of the road, walk a few metres up the hill and turn left. When you see the big “Sanquin” building, the RIMLS building is the green building on the opposite side, a little further down the road.
Walk into the building and take the elevator to the 5th floor. You have to ring the bell to get into the department. Once inside, ask the secretary or someone else where to find us (if you cannot find any of us at the central square near the coffee machine, where we often are).