Dr. David Zimmerer

David Zimmerer is a PostDoc researcher at the Division of Medical Image Computing (MIC) at the German Cancer Research Center (DKFZ) working on methods for un- or weakly supervised anomaly detection and localization and out-of-distrubution detection, using mostly deep learning methods. Before joining MIC, he obtained hos M.Sc. degree in Computer Science from the Karlsruhe Institute of Technology.
His current research interests include out-of-distribution detection, generative models, handling domains and non i.i.d. settings, and representation learning .

Projects:

• Unsupervised learning for anomaly detection in medical images.

Interests:

• OoD/ anomaly detection
• Generative models
• Representation learning