Michael Moser
Data Scientist
Erlangen, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolMichael Moser is a data scientist with 10 years of experience applying machine learning and deep learning to healthcare and physics problems. Currently at Siemens Healthineers, he builds near real-time data pipelines and predictive maintenance solutions for CT machines using Python, Spark, TensorFlow/Scikit-learn and Azure Databricks, while driving product ownership and CI/CD practices. His background includes a PhD-level research track developing convolutional neural network reconstruction pipelines for the KM3NeT neutrino detector and leading its ML working group, where he created the Keras-based OrcaNet library. Comfortable bridging research and production, he supervises student projects, authors open-source tools (github.com/ViaFerrata), and brings physics-driven rigor to practical ML systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, 1.8, Bachelor of Science (B.Sc.), Physics, 1.8 at Friedrich-Alexander-Universität Erlangen-NürnbergMaster of Science with honors (M.Sc.), Physics, Master of Science with honors (M.Sc.), Physics at 大阪大学
German, English, French, Italian, Japanese
Stackoverflow
849reputation
39kreached
4answers
25questions
Github Skills (74)
python10
deep-learning10
eclipse10
neural-network10
jax10
data-science10
tensorflow10
tom10
ini10
baidu10
pytorch10
machine-learning10
keras10
particle-physics9
ml9
Programming languages (8)
Github contributions (5)
ViaFerrata/OrcaSong
Jun 2018 - Feb 2020
Makes images for a NN based on the hit information of neutrino events in the neutrino telescope KM3NeT-ORCA
Contributions:102 commits, 1 PR, 422 pushes in 1 year 8 months
eventsneutrinodeep-learningorcahit
ViaFerrata/OrcaNet
Apr 2017 - Jan 2020
Keras-based deep learning framework for particle physics within the KM3NeT neutrino telescope project
Contributions:389 commits, 10 PRs, 440 pushes in 2 years 8 months
deep-learningkerascnnparticle-physicsphysics
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