Understanding and effectively exploiting the growth of large-scale genomics and multi-omics data poses a challenge for biomedical research. These data are characterized by their high complexity and variety, which are often difficult to consolidate. Our ultimate goal is to unravel the pathomechanisms of psychiatric disorders and transform large-scale data into applicable biomedical knowledge that can inform diagnostic tools. Thereby, we can contribute towards closing the gap between clinical data and computational applications by applying medical genomics. Our integration at both the Department of Translational Research at the Max Planck Institute of Psychiatry (MPIP), and at the Institute of Computational Biology (ICB) at the Helmholtz Zentrum München, puts us at the unique interface between psychiatry research and computational biology. We not only have access to laboratories, physicians and a large number of study cohorts that enable us to test our hypotheses and predictions, but also to state-of-the-art analytic tools and methods. Our multidisciplinary group with knowledge in bioinformatics, biostatistics and computer science stimulates ideas and new design for effective data transformations.
Mission Statement: To transform multi-dimensional high-throughput data into research tools that may help to inform digital health systems.