Marius Köppel

I am a PostDoc in Partical Physics at the ETH Zurich, working on Experimantal Partical Physics, Real Time Data Acquisition and Machine Learning. At ETH I am responsible for the Scintillating Fibre detector of the Mu3e and working on ML based anomaly detection for the CMS experiment. My research has the focus on developing solutions that can handle the vast amounts of data generated by scientific experiments today.

I did my PhD in Physics at the Johannes Gutenberg Universität Mainz, particularly developing the data acquisition system for the Mu3e experiment.

The Mu3e experiment is designed to search for the rare decay of the muon (\(\mu^+ \rightarrow e^+ + e^+ + e^-\)), leading to a significant step towards understanding the fundamental laws the universe.

Furthermore, I am actively interested in enhancing detector technologies in general. Therefore, I am working on doing Muon Spin Spectroscopy using Si-Pixel detectors (MuSiP) deployed at the Paul Scherrer Institute.

My work also extends beyond the boundaries of physics, venturing into the field of algorithmic fairness. This domain is where ethics meets technology, challenging us to design and implement algorithms that are not only efficient but also equitable. I am an associate member of the TOPML project, which studies the interaction of non-functional properties in machine learning.

selected publications

Invariant Representations with Stochastically Quantized Neural Networks

Mattia Cerrato , Marius Köppel , Roberto Esposito , and 1 more author

Proceedings of the AAAI Conference on Artificial Intelligence, Jun 2023

Bib PDF

@article{Cerrato_Köppel_Esposito_Kramer_2023,
  title = {Invariant Representations with Stochastically Quantized Neural Networks},
  volume = {37},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25851},
  doi = {10.1609/aaai.v37i6.25851},
  number = {6},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  author = {Cerrato, Mattia and Köppel, Marius and Esposito, Roberto and Kramer, Stefan},
  year = {2023},
  month = jun,
  pages = {6962-6970},
}

Data Flow in the Mu3e DAQ

Marius Köppel

IEEE Transactions on Nuclear Science, Jun 2023

Bib PDF

@article{10126097,
  author = {Köppel, Marius},
  journal = {IEEE Transactions on Nuclear Science},
  title = {Data Flow in the Mu3e DAQ},
  year = {2023},
  volume = {70},
  number = {6},
  pages = {898-905},
  keywords = {Detectors;Data acquisition;Field programmable gate arrays;Optical switches;Clocks;Mesons;Timing;Data acquisition (DAQ);field-programmable gate arrays (FPGAs);physics},
  doi = {10.1109/TNS.2023.3276470},
}

10 Years of Fair Representations: Challenges and Opportunities

Mattia Cerrato , Marius Köppel , Philipp Wolf , and 1 more author

Jun 2024

Bib PDF

@article{10y,
  title = {10 Years of Fair Representations: Challenges and Opportunities},
  author = {Cerrato, Mattia and Köppel, Marius and Wolf, Philipp and Kramer, Stefan},
  year = {2024},
  eprint = {},
  archiveprefix = {arXiv},
  primaryclass = {},
  url = {},
}