Melissa Schween, M. Sc.

Group member: Machine Learning for Non-Textual Data, L3S Research Centre

Melissa Schween studied Computer Science at the Leibniz University Hannover. She graduated in March 2025 with her master thesis "Learning-based methods for efficient analysis of pain drawings and clinical data" in a project within the DigiStrucMed-Program. She started her PhD in supervision of Prof. Dr.-Ing. Rosenhahn and worked on anomaly detection with scene graphs. In March 2026, she switched to the research group of Prof. Dr.-Ing. Hutter and now works on dynamic MRIs.