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 big apes, and homo sapiens sapiens in particular (for lack of frequent contact with other species).
News
Recent and upcoming talks
2026/2/3 – The IMPACT project team kindly invited me to talk during a mathematical dissemination conference. My talk is entitled “Anecdotes of pragmatic models”.
2024/10/14→17/ – λμ24 hosted by Institut de Maîtrise des Risques (IMdR). I presented the first results of the POLIVAL project: “’Uncertainty’: the elephant in the living rooom of soil pollution management?.” [🗎 get slides]
2024/10/11 – TSP day organised by EDF and Phimeca. I presented “HeatXSysPro: From Excel to robust tool for Air Fan Coolers performance assessment” [🗎 get slides]
