Matthias Francois has extensive experience in software engineering and modeling, with a focus on gas chromatography, signal processing, and machine learning. Currently, at SLB since January 2021, Matthias specializes in the industrialization and integration of classic and AI models, utilizing languages such as C# and Python for data analysis and model implementation. Prior experience includes various roles at Schlumberger from 2013 to 2021, where contributions spanned signal processing, machine learning, and software engineering. Earlier positions included software development for thermal control at CSTB, functionality implementation at Société Générale, and graphical interface development at CEA. Matthias holds a Master's degree in Mathematical Engineering from Pierre and Marie Curie University and a CAPES in Mathematics from Université Pierre et Marie Curie.
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