Hi, I am Pia Stammer!

I am an applied mathematician currently working as a Leopoldina post doc fellow in the research group Medical Physics and Technology at the department for Radiation Science and Technology, TU Delft.
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

17.02.-21.02. matRad User Meeting & Hackathon, Heidelberg

For its 10th anniversary, the developers of the open-source treatment planning toolkit matRad organized a user meeting in Heidelberg. ... Despite currently not being a very active developer or user, I was happy to follow the invitation and visit my former colleagues at DKFZ. It was a great opportunity to get into touch with the community and chat with many computationally-minded researchers in radiation therapy.

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22.09.-25.09. SNuBIC retreat, Königswinter

I was happy to be invited as a guest speaker to the retreat of the SNuBIC research unit. There were plenty of interesting talks and lively discussions and ... it was especially nice to have some more time to chat to old and new aquaintances than usually possible at bigger conferences.

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15.07.-19.07. SciCADE, Singapore

Recently I travelled to Singapore to talk at SciCADE in a Minisymposium on "Dynamical Low Rank Approximation: From Theory to Application" organized by Benjamin Carell and Thomas Trigo Trinidade. ... Overall a very nice conference with a lot of interesting talks and discussions. I was happy to encounter many familiar faces, meet new people and see the field of DLRA grow further. Discovering the city and surroundings with old and new friends was a added bonus.

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01.07. Move to Delft, Netherlands

After around 10 years of studying and working at KIT in Karlsruhe, it is time to move on to a new chapter. From beginning of July I will be working as a Leopoldina PostDoc fellow at TU Delft. ... The project on DLRA for proton therapy planning will be supported by the local host Danny Lathouwers and I am very much looking forward to bringing some mathematical theory into application during my time here.

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Publications

Preprints

• Low-rank variance reduction for uncertain radiative transfer with control variates, Jan. 2025
  Chinmay Patwardhan, Pia Stammer, Emil Løvbak, Jonas Kusch, Sebastian Krumscheid
  arXiv:2501.06125 , submitted to Proceedings of MCQMC 2024

• A Deterministic Dynamical Low-rank Approach for Charged Particle Transport, Dec. 2024
  Pia Stammer, Tiberiu Burlacu, Niklas Wahl, Danny Lathouwers, Jonas Kusch
  arXiv:2412.09484 , submitted to M&C 2025

2023

• KiT-RT: An extendable framework for radiative transfer and therapy
  Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao
  ACM Transactions on Mathematical Software Github

• A Robust Collision Source Method for Rank Adaptive Dynamical Low-Rank Approximation in Radiation Therapy
  Jonas Kusch and Pia Stammer
  ESAIM: Mathematical Modelling and Numerical Analysis Github
• Multivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport
  Pia Stammer, Lucas Burigo, Oliver Jäkel, Martin Frank, Niklas Wahl
  Journal of Computational Physics

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

July 2024, SciCADE, Singapore
Minisymposium: Dynamical Low Rank Approximation: From Theory to Applications
Talk: Multi-level dynamical low-rank approximations for stochastic problems in radiation therapy

March 2024, GAMM, Magdeburg
Minisymposium: Dynamical low-rank approximation
Talk: Multi-level dynamical low-rank approximation for grid-based radiation dose calculations

February 2024, Symposium on Sparsity and Singular Structures, Aachen
Minisymposium: Kinetic Equations
Talk: A hybrid dynamical low-rank approach for transport equations in radiation therapy

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.