Jonas Kunath is a software engineer and physicist with eight years of experience applying data-driven methods to complex systems, from particle physics experiments to climate risk modelling. He holds a PhD-level background in high-energy physics (École Polytechnique/ETH Zurich) and has built performant analysis pipelines and real-time monitoring tools using Python, C++, Docker and ML frameworks. Most recently he modelled wildfire behaviour as an R&D data scientist and now develops embedded passenger information and announcement systems at Stadler, blending safety-critical firmware work with data expertise. Jonas is comfortable bridging research and production: he optimized Higgs analysis workflows and later translated statistical modelling skills to climate risk—an uncommon path that sharpens both his algorithmic rigor and practical engineering sense.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at École Polytechnique
Master of Science Physics, Joint Degree ETH Zurich - École Polytechnique Paris, High Energy Physics, 5.84 out of 6 (with distinction), Master of Science Physics, Joint Degree ETH Zurich - École Polytechnique Paris, High Energy Physics, 5.84 out of 6 (with distinction) at ETH Zürich
Hong Kong University of Science and Technology (HKUST)
Event-based almost-online monitoring for the SiW ECAL
Contributions:1 release, 3 PRs, 39 pushes in 6 months
snmpecalsensumonitoringevent-based
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