The Computational Neurology group develops theory- and data-based methods with the goal of achieving a more comprehensive understanding of neurological system function. In addition to the general goal of a more quantitative neurology, this approach should contribute to a more objective, real-time monitoring with continuous risk assessment and,…

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.

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.

Genetic sequencing, an essential method in life science, is mainly driven by fluorescence imaging. In the advent of spatial imaging and in situ sequencing directly on cells and human tissues, we aim to apply latest deep learning and microscopic automation for translational medicine and molecular pathology. This includes fast optical imaging, single…