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

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