Benoit Grosjean

Benoit Grosjean is a research engineer and developer at CSTB, specializing in software development and applied research for optimizing electrical networks using smartmeter data. Prior to this, Benoit worked as a data scientist and researcher at Odit-e, focusing on real-time services for time series forecasting in international innovation projects related to energy transition. Benoit has a solid academic background with a PhD in computational chemistry from Sorbonne Université, and has gained extensive experience in various research roles, including development of nanofluidic filtration systems and synthesis of advanced materials. Skills include data analysis, modeling, and synthesis in chemistry and nanotechnology, with a comprehensive teaching experience in Python and practical chemistry.