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Radiotherapy Optimization

Group leader: Dr. Niklas Wahl


Pia's approach to proton therapy uncertainty quantification using only a single Monte Carlo dose calculation was featured in the ESTRO newsletter.

matRad, our open-source software for dose calculation and optimiztiation, keeps growing and was featured in Mathworks' techinical newsletters.

Amit's paper on joint photon-carbon treatment planning was published in the Red Journal.

Nish's work on using LSTM-ANNs for proton dose prediction is published in Medical Physics.

Niklas' ICCR presentation on confidence constraints for probabilistic treatment planning has been selected as Highlight Presentation and Hans-Peter's presentation on biological uncertainy modeling in carbon therapy won 3rd place in the rising stars competition.


Our work revolves around the development and implementation of physical, biological and mathematical models into the treatment planning process for radiation therapy. Thereby, we maintain the open source dose calculation and treatment planning toolkit "matRad" (

Currently, we focus on three topics:

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

All projects are carried out in collaboration with renowned colleagues in the field:

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. In particular, we a currently looking for a fixed-term Research Software Enginner to work on our open-source toolkit matRad.



Dr. Niklas Wahl (Group leader - CV)

  • Dr. Amit Ben Antony Bennan (PostDoc)
  • Remo Cristoforetti (PhD student)
  • Simona Facchiano (PhD student)
  • Jennifer Hardt (PhD student)
  • Noa Homolka (PhD student)
  • Tim Ortkamp (associated PhD student from KIT in the HIDSS4Health Program)
  • Pia Stammer (associated PhD student from KIT in the HIDSS4Health Program)
  • Tobias Becher (MSc Student)
  • Luke Voß (HiWi / student assistant)


With our work we try to support open science. As such we make a lot of our programming work freely available via our group's github site. Most notably, we maintain the Matlab-based open-source dose calculation and optimization toolkit  matRad for radiotherapy research and education.


The list includes publications from previous group leaders as well (Dr. Mark Bangert up until 2018).

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