Yves Delley is a technology leader and scientist with 13 years of experience at the intersection of hardware, sensing systems, and embedded analytics, driven by a passion for digitizing healthcare. He co-founded and led epyMetrics to deliver a diagnostic wearable for continuous, non-invasive thermoregulation monitoring and served as VP Sensing Systems at Kenzen, bringing products from concept to field-ready implementations. Trained as a PhD in Quantum Optics from ETH Zurich, he blends rigorous experimental design with software and firmware engineering, automating complex data acquisition and validation pipelines. His open-source contributions span front-end polish for reveal.js and deeper backend work on Python trait validation and C++ units libraries, reflecting a rare comfort across UI, library design, and low-level systems. Colleagues describe him as a hands-on problem solver who translates physics-grade rigor into practical, manufacturable products. Based in Zurich, he combines academic depth with entrepreneurial grit to move health technologies from lab prototypes to real-world impact.
13 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Solid State Physics, Master of Science (M.Sc.), Solid State Physics at ETH Zürich
Doctor of Philosophy - PhD, Quantum Optics, Doctor of Philosophy - PhD, Quantum Optics at ETH Zurich
Contributions:82 reviews, 6 commits, 19 PRs in 1 year 10 months
Contributions summary:Yves primarily focused on improving the `mp-units` library by addressing compiler warnings and refactoring code related to formatting and exception handling. The user fixed a sign-conversion warning and refactored code to use `FMT_THROW` for enhanced embedded-friendly code, particularly within the `fmt.h` files. The user also added missing throws in format.h and made multiple attempts to fix MSVC failures.
Contributions:6 commits, 1 PR, 13 comments in 2 months
Contributions summary:Yves primarily focused on enhancing the `traitlets` library by adding features related to Dict validation and key handling. They introduced a `key_trait` argument to the `Dict` class, enabling key-specific validation and corrected an issue related to the `key_trait` not being properly utilized. Furthermore, the user implemented changes to the `validate_elements` method, which improved the overall handling and validation of dictionaries. They also addressed deprecated arguments and restored compatibility for previous keywords for cleaner user experience.
traits
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