Gabriel Michau
Team Leader New Maintenance Technologies & SME Condition Based Maintenance (Stadler Group)
Kreuzlingen, Thurgau, Switzerland
Summary
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Senior🎓
Top SchoolGabriel Michau is a data-driven maintenance leader who builds and deploys condition-based maintenance solutions for rolling stock, currently leading New Maintenance Technologies at Stadler Service AG. With a PhD in Physics/Transport Engineering and eight years in industry and academia, he blends deep-learning time-series expertise with practical deployment experience from ETH Zurich to Stadler. He has led collaborative research with major industrial partners (SBB, Airbus, GE) and translated graph-theory and convex-optimization research on urban traffic inference into robust, impact-focused tools. Comfortable bridging stakeholders across engineering, research and operations, he manages cross-disciplinary data projects end-to-end. Notably, his doctoral work won both national and international Abertis awards, reflecting a rare combination of theoretical rigor and practical relevance. Based in Kreuzlingen, Switzerland, he pairs academic depth with hands-on product delivery in transportation and maintenance domains.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Queensland University of TechnologyDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Ecole normale supérieure de LyonBaccalauréat, Baccalauréat at Lycée CondorcetMaster of Engineering (M.Eng.), Master of Engineering (M.Eng.) at Ecole nationale des Ponts et ChausséesLycee KleberQueen's University
Github Skills (30)
convolutional-neural-networks7
pandas7
python7
data-structures6
jupyter-notebook6
data-analysis6
plotly6
visualization6
data-structure6
data-science6
neural-network5
interactive5
graph5
image-processing5
plotly-dash5
Programming languages (2)
Github contributions (5)
MichauGabriel/HELM
Oct 2018 - Jan 2022
Hierarchical Neural Networks
Contributions:18 commits, 12 pushes, 1 branch in 3 years 3 months
neural-network
MichauGabriel/DeSpaWN
Jan 2022 - Mar 2022
Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)
Contributions:9 commits, 7 pushes, 1 branch in 1 month
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