Fabian Guignard
Data Scientist
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolFabian Guignard is a data scientist with eight years of experience who blends advanced mathematics, spatial statistics and machine learning to tackle real-world spatio-temporal problems across agronomy, environment, renewable energy, insurance and biomedicine. With a PhD and MSc from Swiss institutions and a strong background in Python and R, he has led methodological developments for interpolation, uncertainty quantification and predictive models while delivering applied solutions for partners like Agroscope and CHUV. He excels at translating complex geospatial signals into actionable decisions—optimising wheat variety choice, assessing hourly wind potential, and analysing insurance loss portfolios—while teaching and consulting to bridge research and practice. A self-driven problem solver, Fabian combines rigorous academic training with hands-on data engineering and GIS/ cartography experience, often crafting bespoke algorithms tailored to domain constraints. Unusually for a data scientist, his early career as a geomatician gives him deep, practical familiarity with field surveys and land registers that informs robust, production-ready spatial models.
8 years of coding experience
7 years of employment as a software developer
Doctor of Science (PhD), Doctor of Science (PhD) at University of LausanneEracomCFC of geomatician, CFC of geomatician at In companyMaster of Science (MSc), Mathematics, 5.55 / 6.00, Master of Science (MSc), Mathematics, 5.55 / 6.00 at Swiss Federal Institute of Technology in Lausanne (EPFL)
French, English, German
Github Skills (3)
uncertainty3
machine-learning2
uncertainty-quantification2
Github contributions (5)
fguignard/UncELMe
May 2020 - Aug 2022
Contributions:11 releases, 58 commits, 51 pushes in 2 years 3 months
fguignard/ELM_U
Jan 2018 - May 2020
Contributions:6 PRs, 10 pushes, 7 branches in 2 years 4 months
extremeuncertainty-quantificationmachine-learningextreme-learning-machineuncertainty
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