The working group „Exposomics“ deals with the analysis and integration of different and novel data types in epidemiological questions by appropriate statistical techniques.

The focus of our work is the integration of imaging, genetic, longitudinal and environmental data on a population-based level as well as for certain risk groups, i.e. elderly people or individuals with pre-existing metabolic disease.

By leveraging the information contained in these data, we 1) provide approaches to better understand the development of different subclinical disease states and 2) design prognostic statistical models which help to predict disease states and trajectories.