The objective of our research group is to acquire the basic knowledge necessary to develop new therapies against diseases affecting the liver. For that, we use stem cells to model embryonic development in vitro and to produce liver cells with an interest for cell therapy.

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…

Bone is an interesting tissue from the researchers view as it is able to regenerate after injury. However, even today and with an adequate treatment 5-20% of all fractured patients experience a delayed or non-union.

Tissues in the musculoskeletal system are exquisitely designed with superb mechanical properties. The tissues are also able to adapt to withstand changing mechanical conditions. The Computational Mechanobiology Group is focused on understanding these two exciting features. Using computer modeling techniques, we seek to understand the mechanical…

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…