Vivien Bonvin is a Lead Data Scientist with 12 years of experience bridging astrophysics research and applied machine learning for industry. Trained as a physicist (MSc, PhD) at EPFL, he led high-impact cosmology projects—developing the PyCS time-series package and publishing work that attracted NASA/ESA press coverage and Altmetric top-tier attention. Since transitioning to industry in 2019, he has built state-of-the-art fraud-detection models at Netguardians and now leads data science at Vyntra Global, applying rigorous Bayesian methods and production-grade ML to protect financial systems. Known for turning complex observational pipelines into robust, reproducible analytics, he combines deep statistical expertise with practical deployment experience. Outside work he scaled the International Physicists’ Tournament as its president, demonstrating leadership in coordinating international, research-style competitions.
12 years of coding experience
7 years of employment as a software developer
Master of Engineering (MEng), Phys, Master of Engineering (MEng), Phys at Ecole polytechnique fédérale de Lausanne
Master's degree, Physics, Master's degree, Physics at EPFL
2019 Alumni, Physics, 2019 Alumni, Physics at Lindau Nobel Laureate Meetings
Programming Observations Usefully at Euler Telescope
Contributions:4 releases, 6 PRs, 178 pushes in 3 years 6 months
pythonobservationstelescopeeuler
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