The junior research group focusses on the development of statistical inference methods for machine learning methods. We put special emphasis on problems faced in epidemiology such as confounding, high-dimensional data and survival outcomes. The project is of methodological nature but with a strong focus on applications. Our methods are publicly available as software packages, ready to be used by practitioners and applied researchers.