My research activity as a PhD student takes place within the Helmholtz Information & Data Science School for Health (HIDSS4Health), through which I am affiliated with the research groups Computational Sciences and Mathematical Methods at KIT and Radiotherapy Optimization at DKFZ. I focus on the mathematical optimization of radiotherapy planning, primarily by integrating ML-based models for TCP (tumor control probability) and NTCP (normal tissue complication probability) as biological endpoints, thereby enabling a more personalized treatment. A major component of this is the development of gradient-based, efficient optimization approaches with respect to radiomic and dosimetric variables, as well as the computational implementation in the open-source frameworks pyanno4rt and matRad.