Alexis Gobé
About Alexis Gobé
Alexis Gobé is an Ingénieur Recherche/Développement at Inria, specializing in experimental and development services. He has a strong academic background in mathematics and computer science, holding multiple degrees from Université de Reims Champagne-Ardenne and Université Côte d'Azur.
Work at Inria
Alexis Gobé currently works at Inria as an Ingénieur recherche/développement, a position he has held since 2022 in Sophia Antipolis. He previously worked at Inria in various capacities, including as a Stagiaire for six months in 2016 and as a PhD student from 2016 to 2020. His role involves contributing to the Service d'Expérimentation et de Développement (SED) team, which focuses on providing experimental and development services. Additionally, he serves as the technical leader for the DIOGENeS nanophotonics platform.
Education and Expertise
Alexis Gobé has an extensive educational background in mathematics and computer science. He studied at Université de Reims Champagne-Ardenne, where he earned his Licence in Mathématiques et informatique in 2012. He continued his studies at the same university, obtaining a Licence in Mathématiques appliquées in 2014, followed by a Master 1 in the same field in 2015. He completed a Master 2 (M2) in Modélisation mathématiques pour les sciences de l'ingénieur in 2016. He also holds a Thèse de doctorat in Mathématiques appliquées from Université Côte d'Azur, achieved in 2020.
Background
Alexis Gobé has a solid foundation in research and development, particularly in the fields of mathematics and applied sciences. His career at Inria spans several roles, starting from an internship in 2016 to his current position. His academic journey reflects a strong emphasis on mathematical modeling and applied mathematics, which supports his professional endeavors in research and development.
Achievements
During his tenure at Inria, Alexis Gobé has contributed to significant projects, particularly in the area of nanophotonics through his leadership of the DIOGENeS platform. His involvement in the SED team highlights his commitment to advancing experimental and development services within the organization. His academic qualifications, including a PhD, further underline his expertise in applied mathematics.