About us
We deploy concepts from non-linear dynamics and complex systems to develop mathematical models that unravel the self-organizing principles behind the interactions with biological entities.

The complementary experience and research emphases of our team allow integrating all scales of resolution from genetic code to phenotypic expression.


A particular focus is put on the field of cancer research which culminated in the design of computational diagnostics pipelines for the Molecular Tumor Board at the UKSH Lübeck, which is an interface between clinical treatment and cutting-edge scientific insights by applying state-of-the-art sequencing and analysis approaches to the most challenging cases.

News and publications

CRC 1665 granted

Our CRC 1665 appplication „Determinants, meanings and implications of sex diversity in sociocultural, medical and biological landscapes“ is funded. We are involved in two work

New publication in Elife

Receptor repertoires of murine follicular T helper cells reveal a high clonal overlap in separate lymph nodes in autoimmunity

New publication in Cancers (Basel)

PD-L1 Dependent Immunogenic Landscape in Hot Lung Adenocarcinomas Identified by Transcriptome Analysis

New publication in Blood Cancer J

Genomic insights into the pathogenesis of Epstein-Barr virus-associated diffuse large B-cell lymphoma by whole-genome and targeted amplicon sequencing

New paper in Cells

Effect of Differences in the Microbiome of Cyp17a1-Deficient Mice on Atherosclerotic Background


Join the Medical Systems Biology group

The group for Medical Systems Biology focuses on the development and verification of mathematical models for cellular behavior and cell communication from an initial stimulus to the final phenotype.