I strongly believe in the importance of the role of statistics in biomedical research. More particularly, I am convinced that the recent advances in the field of causal inference provide important tools to more precisely specify which quantities are in fact of interest and hence to improve the quality of our research results. From my experience in applied epidemiological research, I reached the conclusion that we should not shy away from critically questioning established methods, as there lies an enormous potential for improvement in every thoughtful evaluation. While I enjoy the development of new methodology, I think it is important to involve applied researchers in the process and to make a considerable effort to make sure that that novel techniques reach their target audience in the most comprehensive way possible.

For a list of my publications see google scholar .