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 a research scientist at OpenMined. His research concentrates on biomedical image analysis with a focus on probabilistic methods and on the design and deployment of robust, secure, fair and transparent machine learning algorithms to medical imaging workflows using next-generation privacy-preserving machine learning methods.
PostDoc in AI for medical imaging
Imperial College London
Doctorate in molecular medicine and systems biology (Dr. med.)
Master of Healthcare Business Administration