During my undergraduate studies, I was interested in theoretical physics and hence acquired a broad set of mathematical and numerical skills. Then I became fascinated with modern inference and machine learning methods, which I used to estimate parameters from gravitational wave signals during my master studies. Knowledge about these widely applicable tools allowed me to switch to medical physics in Prof. Unkelbach's group afterwards. Here, I am motivated by the potential impact of working to improve cancer therapy, as well as the statistical challenges that arise from real clinical data.