I am a postdoctoral researcher at the Institute for Medical Information Processing, Biometry, and Epidemiology.
As a statistician, I believe that we not only need to promote transparency in research, but also to provide
guidance on how to apply research methods in a way that will improve the replicability of research findings.
In my research, I engage in projects on the effects of fishing for significance on statistical inference and on methods that allow to handle the variability of results when applying alternative analytical strategies (involving for instance different data pre-processing steps and method choices). In my consulting activities, I try to convey these ideas in order to raise awareness on how common research practices can have devastating effects on the replicability of research findings.