Quantitative biology research at FMI

In a time where biological data is available not only in vast quantities, but in unprecedented quality, we have the unique opportunity to describe biological and biomedical phenomena quantitatively. The Quantitative Biology research groups at the FMI attempt to understand complex biological phenomena in basic principles of mathematics, physics and chemistry, with the aim to accurately model a given process and challenge it with predictable outcomes. While a quantitative approach to biology bridges all our research domains, we are making a unique attempt at the FMI to link these applications to human health.

The three topical subgroups within Quantitative Biology are: molecular machines and their complex genotype/phenotype relationships; cellular self-organizing systems; genome structure and function. Within these topics, we dissect the workings of macromolecular machines on the atomic level, extract quantitative information from high-information content live imaging, and use organoids, in vitro differentiation model systems and chemicogenetic approaches to introduce perturbations. We believe that a deeper understanding of cell and tissue physiology in quantitative terms will provide better parameters for diagnostics and serve as the basis of novel treatments for human disease.

Quantitative Biology group leaders