Jennifer Sauvigny

Jennifer Sauvigny is a Physician Scientist at the Department of Neurosurgery, Universitätsklinikum Hamburg-Eppendorf, affiliated with the Medical Faculty of the University of Hamburg. Her work bridges clinical neurosurgery, medical technology evaluation, and neurocritical care research, with a focus on improving outcomes for patients with complex neurological conditions.

• Key research areas include neurocritical care analytics, brain tumor classification, cerebrovascular surgery, and digital microscopy applications in neurosurgical workflows.
• She has developed machine learning models for predicting shunt dependency and intracranial hypertension using intensive care unit data.
• Her publications emphasize technical innovations (e.g., 3D4K exoscope systems) and clinical challenges in subarachnoid hemorrhage, glioblastoma treatment, and postoperative bone resorption.

Recent articles demonstrate expertise in machine learning integration for neurological outcome prediction and DNA methylation-based tumor classification. Collaborations span neurosurgery, radiology, and critical care medicine across multiple institutions.