IRU Mathematics and Life Sciences

The Interdisciplinary Research Unit Mathematics and Life Sciences houses three groups at the interface of the ImmunoSensation and HCM clusters. With the combined expertise gathered here, we have a unique opportunity to create new mathematical models impacting the understanding of the immune system and diseases. The research topics range from information processing, immune response dynamics, treatment protocol modeling, sparse data in single cell approaches, cell behavior prediction, image analysis, and dynamic image analysis in the context of immune responses. For more details on each group see below.

Effland Group

Our research group focuses on applied mathematics with a particular focus on Biomedical Imaging Processing and Modelling. We are interested in developing novel algorithms and methods with a strong emphasis on biomedical applications. Our research topics include mathematical image processing & computer vision, machine/deep learning, modeling, and calculus of variations, which are designed for diverse medical fields such as immunology, radiology, and cardiology.

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Hasenauer Group

Our research field encompasses a variety of topics including statistical inference, multi-scale models, metabolic models, mathematical modeling for infectious diseases, and machine learning in bioinformatics. In our research, we aim to provide insights into biological processes and make predictions through analysis, while also considering the complexities of the underlying mechanisms.

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Thurley Group

We investigate the regulation of immune responses by quantitative data analysis and mathematical modeling, in close collaboration with immuno-biologists and clinical scientists.

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