Matthieu Simeoni is a data scientist and project lead at TotalEnergies, specializing in machine learning algorithms for short-term energy markets since March 2024. Previously, Matthieu worked at Predictive Layer, delivering automated predictive analytics for the pricing sector. Matthieu has also held teaching positions in data science at Le Wagon, and has experience as a bioinformatics scientist, focusing on molecular structures and genetic studies at the Ludwig Institute for Cancer Research and the Computational Biology Group UNIL. Matthieu’s educational background includes a Master of Science in Molecular Life Sciences, with a specialization in Bioinformatics from the University of Lausanne, as well as a Data Scientist Certification from Le Wagon. Prior to entering the tech field, Matthieu gained experience in security and electrical installation.
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