The Gütig lab uses analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in central nervous systems and to understand how these principles are implemented by biological processes. Specifically, the lab focuses on the role of action potential timing in sensory…

Our motivation is to address fundamental biological questions of human immunology and translate them into innovative therapies. In this respect, the core interest of our laboratory lies in the discovery of new applications of antibodies and B cells to treat and prevent challenging human diseases.

The Medical Omics lab aims to improve healthcare and basic research by providing artificial intelligence-driven tools for the analysis of large biomedical datasets. For comprehensive insights in disease entities, we aim to include multiple layers of data, such as single-cell RNA sequencing, methylomics data and medical imaging. In close…

The Sawitzki lab investigates the molecular mechanisms of immune cell activation and tolerance induction, in order to better understand why components of the immune response themselves become a trigger of destructive inflammatory reactions, like e.g. in the context of autoimmune diseases, rejection reactions after organ transplantation or COVID19…

Common metabolic disorders such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. We now know that many sections of the genome influence the risk of weight gain or adverse fat distribution, in addition to the important roles played by lack of physical activity and excessive intake of high-calorie foods.…

Not only the DNA sequence – our genome – but also the 3D structure of our genome – the 'epi-genome' – is essential in determining the type and function of a cell. That's why the analysis of the epigenome facilitates deep insights into the developmental history of a cell and its current gene expression profile, but also allows deductions on its…

The main research area of the Bioinformatics and Translational Genetics group is the elucidation of single gene disorders (diseases caused by DNA mutations in a single gene). We are developing user-friendly software that can be used by non-IT specialists. This allows the physicians – who know most about the patients and their disorders – to analyse…

Brain simulation helps us understanding how our brain works – and developing personalized therapies for its diseases

Further advancing digital medicine requires innovative solutions for integrating healthcare and medical research data. From the perspective of medical informatics, there are important open questions. How can the required collection, integration and analysis of large and heterogeneous data sets be achieved in an efficient, effective and scalable…