Colin Bernet is a CTO and co-founder with 13+ years of professional experience and over 20 years working at the nexus of particle physics, machine learning, and software engineering. He has led rapid-growth AI operations at Cynapps.ai—scaling teams, infra (15 AWS accounts, Kubernetes, IaC) and shipping 100+ AI/data products to production—while maintaining an active research pedigree from CNRS and CERN where he helped commission the CMS particle flow algorithm and contributed to Higgs boson analyses. Equally at home in research and product, he contributes to HEP open-source tooling (notably tau ID and pileup tooling in CMG) and writes widely on applied ML at thedatafrog.com. Known for turning complex physics-grade problems into reliable, scalable AI systems, he blends deep scientific rigor with pragmatic engineering and a builder’s appetite for infrastructure and automation.
13 years of coding experience
Doctor of Philosophy (PhD) Elementary Particle Physics, Doctor of Philosophy (PhD) Elementary Particle Physics at Université Paris Cité
CERN CMG Tools repository. Installation instructions available on the twiki:
Role in this project:
Back-end Developer
Contributions:203 commits, 4 PRs, 1 push in 5 years 3 months
Contributions summary:Colin contributed to the CERN CMG Tools repository, focusing on the development of tools used in the context of High Energy Physics (HEP) data analysis. Their work involved modifying and enhancing code related to tau identification (tau ID) using MVA (Multivariate Analysis) techniques. They also made modifications to the pileup analyzer to be able to read histograms for multiple datasets. The user's contributions included the addition of logging information, improved event printouts, and implementing data files and interfaces for tau MVA ID.
Contributions:6 pushes, 4 branches in 6 years 6 months
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