Lea Starck

Lea Starck is a Researcher affiliated with the Department of Informatics at the University of Bergen. Her work focuses on advanced medical imaging techniques, particularly in neuro-oncology and radiology applications. She contributes to projects involving dynamic susceptibility contrast MRI (DSC-MRI) for evaluating brain metastases and other clinical conditions. Her research integrates quantitative MRI methods with clinical outcomes, emphasizing tumor angiogenesis, treatment response prediction, and pediatric joint imaging.

Lea has been involved in academic recruitment efforts through the VisGroup, including roles in hiring for visualization and data science positions. Her publications span topics from tumor characterization to motion correction in MRI, reflecting her interdisciplinary approach to biomedical engineering challenges. No specific scientific awards are documented, though her active involvement in visualization and medical imaging research is evident through her publications and project leadership roles.

Her work often bridges clinical and technical domains, with a focus on improving diagnostic accuracy and treatment planning through advanced imaging analytics. While no formal advising or grant details are provided, her contributions to the VisGroup highlight her role in fostering academic and applied research initiatives.