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  • Liaison group Genetics/Genomics

    Genome instability and somatic mosaicism

    Ashley Sanders

    We sequence cells to understand how genetic mutations form and change cell states in health and disease.

  • Digital Medicine

    Mathematical modelling of neuronal learning

    Robert Gütig

    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…

  • Oncology

    Early Cancer Development and Prevention

    Kirsten Kübler

    Our research focuses on molecular changes in the development of various tumors. We now want to use bioinformatic and experimental methods to better understand the early development of cancer in order to be able to intervene and prevent it in the long term.

  • Immunology Oncology

    Cancer & Immunology | Immune Mechanisms and Human Antibodies

    Kathrin de la Rosa

    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.

  • Genetics/Genomics Digital Medicine

    Medical Omics

    Sören Lukassen

    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…

  • Genetics/Genomics

    Translational Bioinformatics

    Dieter Beule

    Rapid advances in molecular biology technologies are leading to a data explosion in biomedical research and clinical diagnostics. The goal of our department is to develop new and targeted ways to analyze and evaluate these data sets in order to implement innovations that benefit patients. For instance, it is desirable to make information from…

  • Digital Medicine

    Computational Medicine

    Claudia Langenberg

    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.…

  • Genetics/Genomics Digital Medicine

    Bioinformatics and Translational Genetics

    Dominik Seelow

    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…