I am an applied mathematician currently working as a post doc in the research group Computational Science and Mathematical Methods (CSMM) at KIT
in Karlsruhe.
My research is focused on improving radiation therapy planning by developing more efficient numerical methods and better models for uncertainty quantification. It is important to me to work on socially relevant topics in a sustainable and reproducible way. Below you can find a selection of my publications, talks and software projects.
News
10.06. - 16.06. - PTCOG 61, Madrid
In june I travelled all the way to Madrid by train for the annual conference of the Particle Therapy Cooperative Group (PTCOG). ... While there, I presented a poster on "Time and memory efficient deterministic proton dose calculations using the dynamical low-rank approximation". The trip was well worth the two days on the train for the interesting discussions and inspiring talks.
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22.05. - 24.05. - DLRA new horizons, Lausanne
Together with my colleagues Steffen Schotthöfer and Chinmay Patwardhan, I traveled to Lausanne for the "Dynamical low-rank approximation new horizons" workshop end of may. ... On site at the Bernoulli center, we were happy to encounter many more familiar faces and listen to some of the founders of the field talk about new and old work. Overall an extremely well-organized and interesting workshop, thanks Gianluca and Jonas for organizing this!
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Publications
2023
2022
- KiT-RT: An extendable framework for radiative transfer and therapy
Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao
ArXiv preprint 2205.08417
Github
2021
- Efficient Uncertainty Quantification for Monte Carlo Dose Calculations Using Importance (Re-)Weighting
Pia Stammer, Lucas Burigo, Oliver Jäkel, Martin Frank, Niklas Wahl
Physics in Medicine & Biology
Software projects
KiT-RT
https://github.com/CSMMLab/KiT-RT
Project together with Jonas Kusch, Steffen Schotthöfer, Jannick Wolters and Tianbai Xiao.
The KiT-RT (Kinetic Transport Solver for Radiation Therapy) framework is a high-performance open source
platform for radiation transport. Its main focus is on radiotherapy planning in cancer treatment. To enable
problem-specific method selection, the framework provides different deterministic solver types. This not
only facilitates treatment planning, but also provides tools to investigate various research questions in the
field of radiative transfer. This goal is supported by an easily extendable code
TITUS
https://github.com/CSMMLab/TITUS
Project together with Jonas Kusch.
The TITUS framework offers open source solvers for time and memory efficient deterministic proton and
electron dose calculations in 2D/3D. We solve the continuous slowing down approximation (CSD) to
transport equations using the dynamical low rank approximation. See [1] for a detailed description of the
methodology and some initial results for 2D electron transport. Functionalities of TITUS include collideduncollided
splitting methods, high-order time integration, high-order spatial discretizations and GPU
accelerations.
matRad
https://e0404.github.io/matRad/
Project developed and maintained within the research group Radiotherapy Optimization at the German
Cancer Research Center (DKFZ). During my time as an associated member of this research group I have
contributed to the project, especially to the photon Monte Carlo computations with TOPAS MC.
MatRad is an open source software for radiation treatment planning of intensity-modulated photon,
proton, and carbon ion therapy.
Presentations
Conference Talks
February 2023, SIAM CSE, Amsterdam
Minisymposium: Efficient Numerical Frameworks
for Kinetic And Related Models
Talk: Efficient Solution of the Linear Boltzmann
Equation for Radiation Therapy Using the Dynamical Low- Rank Approximation
September 2022, GIMC SIMAI Young, Pavia
Minisymposium: Efficient Numerical Frameworks
for Kinetic And Related Models
Talk: A robust collision source method for
rank adaptive dynamical low-rank approximation in radiation therapy
July 2022, MCQMC, Linz
Talk: Using importance sampling to speed up nonintrusive uncertainty quantification for Monte Carlo simulations
June 2021, PTCOG59, Online
Talk: Efficient uncertainty estimates in Monte Carlo dose calculation using importance re-weighting
Posters
June 2023, PTCOG61, Madrid
Time and memory efficient deterministic proton dose calculations using the dynamical low-rank approximation
April 2023, MMKT, Karlsruhe
Cost and memory efficient moment methods in radiation therapy and their open-source implementation
May 2022, ESTRO, Kopenhagen
PO-1728 Efficient modeling and quantification of timedependent errors in IMPT
Get In Touch
If you are interested in collaborating or have questions about my work don't hesitate to contact me.
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Address
Zirkel 2
76131 Karlsruhe
Building 20.21, R. 214