Daniel M. Lang

Daniel M. Lang

Research Scientist

Helmholtz Center Munich

Daniel Lang will be a postdoc at the Institute of Machine Learning in Biomedical Imaging at Helmholtz Munich. His research interest focuses on the application of deep learning models for problem settings in the field of medical imaging with a special focus on cancer management. He is particularly interested in topics like transfer and selfsupervised learning, out of distribution problems and domain adaptation, and survival analysis.

Interests
  • Self-supervised Learning
  • Transfer Learning
  • Survival Analysis
Education
  • PhD in Physics, 2022

    Helmholtz Munich and Technical University Munich

  • MSc in Physics, 2018

    University Regensburg

  • BSc in Physics, 2016

    University Regensburg

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