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Christophe Secouard has over 17 years of work experience. Christophe began their career in 2004 as an Engineer training period at the Institute of Plasma Physics of the Czech Academy of Sciences. In 2005, they worked as a Junior Research Engineer at CEA, where they also worked as a Research Engineer - Thin Film Solid State Batteries. Theirduties included development of Machine Learning models for batteries classification and failure prediction, data collection and management, and data analysis and lab-scale SPC. In the same year, they also had an Engineer training period at Advanced Coating. Currently, they are working as an Engineer at Oxford PV since 2022.

Christophe Secouard has an education history that includes completing a Machine Learning course through Coursera (Stanford University) in 2021, an Engineer degree from ENSIL-ENSCI in 2005 (in the fields of physics, materials sciences, and process engineering), a CPGE from Lycée Chaptal in 2002 (in the fields of Physics and Chemistry), and a PPL from AERALP. Additionally, they obtained a Machine Learning certification from Coursera in March 2021.