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.

Interests

  • Computer vision
  • Privacy preserving artificial intelligence
  • Probabilistic modelling

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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