Beyond Prediction

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. Major research interests of the research group are Interpretable machine learning, Statistical properties of machine learning methods, Survival analysis, Statistical software, and Application to high dimensional data.