Radiotherapy Optimization

Group leader: Dr. Mark Bangert


Papers on the efficiency of analytical probabilistic modeling and on its application for C12 have been published

matRad, our open-source software for dose calculation and optimiztiation, keeps growing

Results on conventional Xerostomia prediction models in low dose domains have been published

We work on the incorporation of physical and mathematical models into the treatment optimization process for radiation therapy. Currently, we focus on three topics:

  • Machine learning and numerical optimization techniques for the quantification and minimization of uncertainties in radiation therapy
  • Data mining to infer predictive models for the outcome of radiation therapy
  • Incorporation of additional optimization parameters into automated radiation therapy planning

We are constantly looking for motivated individuals coming from a physics, math, and/or computer science background with a genuine interest in medical physics in radiation oncology. If you are interested to join our research group for your Bachelor, Master, and PhD thesis or for a postdoc position, do not hesitate and get in touch.

Currently there is an open Master thesis position in the context of our department's collabroation project with Prof. Willi Gerber at the Universidad Valdivia in Chile.


Course material for the lecture "The physics of charged particle therapy" is available at




  • Amit Antony (PhD student)
  • Rosario Astaburuaga (Master student)
  • Dr. Mark Bangert (Group leader)  → CV → Google citations
  • Hubert Gabrys (PhD student)
  • Fabian Jäger (Bachelor student)
  • Jesse Lyra (Master student)
  • Lucas-Raphael Müller (Student assistant)
  • Dr. Silke Ulrich (Postdoc)
  • Niklas Wahl (PhD student)
  • Hans-Peter Wieser (PhD student)
  • Johanna Winter (Master student)


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