Henrik von Kleist is a PhD student at Helmholtz Zentrum München and Technical University of Munich (TUM) within the program of the Munich School of Data Science (MUDS). He received his Master’s degree in Data Engineering and Analytics from TUM in 2020. During his Master’s thesis at Harvard Medical School, he developed a motion compensation algorithm for fetal cardiac magnetic resonance imaging. Currently, he is working on uncertainty quantification and causal inference to improve individualized patient diagnosis and treatment.


  • Interpretable AI
  • Uncertainty quantification in ML
  • Causal inference


  • M.Sc. in Data Engineering and Analytics, 2020

    Technical University of Munich

  • B.Sc. in Engineering Science, 2017

    Technical University of Munich