معرفی
Paul Büschl is a doctoral candidate in the Department of Quantitative Biomedicine at the University of Zurich, advised by Prof. Dr. Bjoern Menze and Prof. Dr. César Nombela-Arrieta. His research focuses on developing machine learning algorithms for biomedical applications, emphasizing heterogeneous graph learning, causality, unsupervised/self-supervised learning, and 3D medical image segmentation.
Before his PhD, he earned a Master's in Electrical Engineering and Information Technology from the Technical University of Munich (TUM), specializing in medical engineering and IT security. His work bridges healthcare and technology, with contributions to antibody engineering and neurovascular graph analysis.
His current projects explore interdisciplinary challenges in biomedical AI, including applications in oncology and neuroscience. Despite no listed awards, his publications highlight innovative approaches in graph-based machine learning and biomedical data analysis.
Paul collaborates closely with Prof. Menze’s team and contributes to projects like the Whole Brain Vessel Graphs benchmark dataset. He has not yet advised students or reported grants in the provided texts.
