Georgios Kaissis is a senior research scientist at the Institute of Artificial Intelligence and Informatics in Medicine and specialist diagnostic radiologist at the Institute for Radiology at TUM, a postdoctoral researcher at the Department of Computing at Imperial College London and leads the Healthcare Unit at OpenMined. His research concentrates on biomedical image analysis with a focus on next-generation privacy-preserving machine learning methods as well as probabilistic methods for the design and deployment of robust, secure, fair and transparent machine learning algorithms to medical imaging workflows.
PostDoc in AI for medical imaging
Imperial College London
Doctorate in molecular medicine and systems biology (Dr. med.)
Master of Healthcare Business Administration