Deep Brain Stimulation (DBS) is a neurological treatment method to alleviate the symptoms of neurodegenerative diseases such as Parkinson’s disease. In DBS, electrical stimuli are transmitted to a specific target area in the brain via a surgically implanted lead. Although the exact neurological mechanisms are still unknown, DBS has become an established method in clinical practice and is used, in particular, by Uppsala University Hospital. However, the configuration of optimal stimulation parameters for individual patients is still based on a lengthy trial-and-error process, which is both costly and time-consuming. The proposed project is to be carried out in cooperation with Uppsala University Hospital. The project goal is to design a tool for clinicians that facilitates predicting optimal stimulation parameters and integrates multiple existing data processing and modeling steps into a single pipeline.