Tassilo Wald

Tassilo Wald is a PhD student at the Division of Medical Image Computing (MIC) on representations learned by deep learning models. This includes measuring similarities between different models, stitching them and learning novel representations with respect to already existing models. He received his MSc in Electrical Engineering from the Karlsruhe Institute of Technology where he worked on object detection in the domain of autonomous driving. His current research interests revolve around differences between models, namely error-consistency between models, representational similarities and their functional behaviour. Additionally he works on the semantic segmentation of Brain Metastasis in a clinical setting.

Projects:

• Representational similarity between trained deep learning models
• Knowledge extension through representational diversity
• Brain Metastasis Project

Interests:

• Representational Similarity
• Functional Similarity
• Inter-rater agreement