Guillaume Krivtchik is a modeler. He started his career at the French Atomic Energy and Alternative Energies Commission (CEA) where he worked as a research engineer for more than 10 years. As a nuclear engineer, he has worked on developing and improving tools and methods to model nuclear fuel cycle scenarios, with a focus on physical models for managing transformation and flows of nuclear materials, including nuclear fuel depletion, cooling, and reprocessing. He also modeled and analyzed multiple nuclear energy scenarios, such as deployment of Generation IV reactors, multiple recycling in light-water reactors, and phase-out from nuclear, for industry and governmental stakeholders. Guillaume also worked in the domain of energy systems modeling, both at CEA and the Nuclear Energy Agency of the OECD, where he developed models for power systems and multi-vector energy systems, and analyzed energy systems at multiple scales. He has supervised PhD students working on topics related to leveraging machine-learning capabilities to perform multicriteria optimization and resilience analysis of energy scenarios.
Guillaume has a double master’s degree in nuclear engineering and physics for energy from PHELMA, and a PhD in energy engineering from Université de Grenoble. Guillaume loves nature and riding his mountain bike on rocky trails.