Johannes C. Paetzold
Johannes is a computer scientist and Assistant Professor in the Department of Radiology at Weill Cornell Medicine. Previously, he was a postdoctoral researcher at Imperial College London and Klinikum rechts der Isar, Munich, and the AI Team Leader at the Institute for Intelligent Biotechnologies (iBIO) at Helmholtz Zentrum München. He completed his undergraduate and graduate studies at the Technical University of Munich. His research focuses on developing novel machine learning methods and solutions for computer vision and healthcare, with an emphasis on geometric and topological deep learning. He works on interpretable medical image analysis, leveraging graph neural networks, multimodal data integration, and generative models and actively engages in translational research, collaborating with clinical and biomedical experts to implement machine learning innovations in real-world medical settings.
Research Interests
- Geometric Deep Learning
- Medical Imaging
- Graph Neural Networks
- Generative Models
Education
- PhD in Computer Science, Technical University of Munich, 2023
- MSc in Electrical Engineering, Technical University of Munich, 2018
- BSc in Engineering Science, Technical University of Munich, 2016
- further studies in Engineering at IIT Bombay and Politics and Technology at TUM
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