Jonathan Faustin
About Jonathan Faustin
Jonathan Faustin is a Machine Learning Engineer currently employed at InstaDeep Ltd in Ville de Paris, France. He holds a PhD in Physics from Ecole polytechnique fédérale de Lausanne and has a diverse background in nuclear engineering and scientific computing.
Current Role at InstaDeep
Jonathan Faustin holds the position of Machine Learning Engineer at InstaDeep Ltd since 2022. He is based in Ville de Paris, Île-de-France, France. In this role, he applies his expertise in machine learning to develop innovative solutions and contribute to the company's projects.
Previous Experience at EDF
Before joining InstaDeep, Jonathan worked at EDF as an Ingénieur chercheur from 2019 to 2022. His tenure at EDF lasted three years and took place in Palaiseau. In this position, he focused on research and development within the energy sector.
Educational Background
Jonathan Faustin has an extensive educational background. He studied at Université de Lorraine, where he earned a Master 2 (M2) in Sciences de la fusion from 2011 to 2012. He also attended Ecole polytechnique fédérale de Lausanne, achieving a Doctor of Philosophy (PhD) in Physique from 2012 to 2016. Additionally, he studied at IMT Atlantique, where he obtained an Ingénieur - Diplôme École des Mines de Nantes in Ingénierie nucléaire from 2008 to 2011.
Research Experience at Max Planck Institute
Jonathan served as a Postdoctoral Research Scientist at the Max Planck Institute for Plasma Physics from 2017 to 2018. His role lasted one year and was based in the Région de Greifswald, Allemagne. During this time, he contributed to advanced research in plasma physics.
Role at SOGETI High Tech
Prior to his position at EDF, Jonathan worked at SOGETI High Tech as an Ingénieur Calcul Scientifique for a period of five months in 2018. His role involved scientific computing, where he applied his technical skills in a collaborative environment in Issy les Moulineaux.