Thurley group - Systems Biology of Inflammation

spatio-temporal simulation of Th cell interaction

Applications for master and bachelor thesis projects are welcome, new topics include analysis of spatial patterns in histological images and information theoretic analysis of cell-cell communication. See below for more information.

The mammalian immune response depends on the interaction and collaboration of many, highly individual cells. In particular, a network of interacting lymphocytes is critical for the course of an inflammatory response, which under certain circumstances can become self-sustained and thus evoke chronic diseases such as rheumatoid arthritis. Our recent work has emphasized the need for mathematical analysis in the regulation of immune responses (Thurley et al., PLoS Comp Biol 2015; Hammer et al., Nat Immunol 2018; Thurley, Wu, Altschuler, Cell Systems 2018). We develop and apply mathematical modeling and data analysis techniques to investigate the regulation of immune responses, in close collaboration with physicians and immuno-biologists.

The Systems Biology of Inflammation group is located at the German Rheumatism Research Center (DRFZ) and funded by the Leibniz association and the Deutsche Forschungsgemeinschaft.

Visit us at DRFZ Berlin. An overview of previous publications can be found here.

Dr. Kevin Thurley (group leader)

Philipp Burt, Msc Biophysics (PhD student)

Gino Kwon, Msc Nano Medical Science (PhD student)

Patrick Brunner, Msc Biophysics (PhD student)

Zuzanna Borek (PhD student, guest scientist)

Gustav Gei├čler, Bsc. Physics (Msc student, HU Physics)

Lukas Kiwitz (Bsc student, HU Biology)

Paraskevi Voula Tassopoulou (Msc Molecular Medicine, Charite Berlin)

Pau Pascual Mas (Bsc Biotechnology, University of Barcelona)

Bachelor and master students are always welcome. We seek highly motivated students with a background in (bio-)physics, mathematics or systems biology. Projects typically include a combination of biological data analysis and mathematical modeling, in particular analysis of single-cell sequencing data, quantitative image analysis, spatial and stochastic modeling techniques, as well as ordinary differential equation models. We closely collaborate with wet-lab immunologists at the DRFZ. Please contact