We are applying computational solutions to contribute to the understanding of inflammatory pathomechanisms and a personalized medical approach, bridging the gap between data, bench and bedside in the rheumatology field.
Our research focuses on providing a better insight on the molecular basis of autoimmune rheumatic diseases using computational approaches. We are working closely with wet-lab scientists and clinicians to generate tailored analysis for experimental data and answer complex biological questions in rheumatology. Use of bioinformatic algorithms for integration of high-throughput and experimental data allows us to perform interdisciplinary research to understand drivers of inflammation and develop a more personalized treatment approach. Several projects are currently ongoing which address the specific role of cell-cell interactions and environmental factors on the transcriptome and epigenome of pathogenic cell types. A major focus lies on epigenetic regulation of cell stability under steady state and autoimmune conditions. Other areas of interests are liquid biopsies and cell-free nucleic acids for biomarker development.
We are continuously looking for highly motivated individuals to join our team.
As of October 2023