Georgios Kaissis

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.

Interests:

• Privacy-preserving artificial intelligence
• Medical image computing
• Probabilistic methods

Education:

• PostDoc in AI for medical imaging
  Imperial College London
  Specialist Radiologist
  TUM
• Doctorate in molecular medicine and systems biology (Dr. med.)
  LMU Munich
• Medical Degree
  LMU Munich
• Master of Healthcare Business Administration
  FAU Erlangen-Nürnberg