Sylvain Girard’s scientific page
I lead the “Reliability & Robustness” team at Phimeca Engineering Paris.
We use data science and numerical simulation to help designing, operating and maintaining industrial system safely and efficiently.
My topics of interest include
From data and simulation to decision – Modelling creates uncertainty. This is a bad product: people mostly want to get rid of it. We help our partners to shift from the illusion of complete control to robust risk management and efficient decision processes.
Embracing complexity – Complexity also bears negative connotation. Yet, complex systems have emergent behaviours that go far beyond those of their parts: otherwise we would stick to hammer an nails kind of technologies (sometimes we should). We tackle this by dimension reduction, deep learning, and system scale (a.k.a. 0D/1D multi-physics) modelling.
From R&D to something else – Modelling is a tribal activity: a small group share tacit (=hard to transcribe) knowledge of great potential. Good ideas often lead to good R&D. Often, good R&D leads to… good ideas at best. We help partners to widen the innovation spiral and produce concrete outcomes.
AI, Animal Intelligence – Especially those of apes, and homo sapiens sapiens in particular (for lack of frequent contact with other species).
News
November 2025 – The 7th Researcher–Engineer Gathering, “Math et Cerveau”, will take place on 20th November 2025 at IHP. Register online at: https://seminaire.phimeca.com/.
Contact me if you would like to present your work.
March 2025 – Our preprint “Accurate and fast prediction of radioactive pollution by Kriging coupled with Auto-Associative Models” is online.
Recent and upcoming talks
