Ulysse Marteau Ferey
About Ulysse Marteau Ferey
Ulysse Marteau Ferey is a PhD graduate student at Inria, specializing in mathematics, vision, and machine learning. He has a strong academic background, having studied at prestigious institutions such as École Normale Supérieure Paris-Saclay and the University of Cambridge.
Work at Inria
Ulysse Marteau Ferey has been working at Inria as a PhD Graduate Student since 2019. His research focuses on learning theory and optimization in Kernel spaces, contributing to the SIERRA project-team. Prior to his current role, he served as a Research Assistant at Inria from 2018 to 2019, where he engaged in advanced research in mathematics. His work at Inria is supervised by recognized researchers Francis Bach and Alessandro Rudi.
Education and Expertise
Ulysse Marteau Ferey studied at École Normale Supérieure Paris-Saclay, where he earned a Master of Science in Mathematics, Vision, and Machine Learning from 2017 to 2018. He also completed a Bachelor of Science in Mathematics, Physics, and Engineering Sciences at Lycée Sainte-Geneviève from 2013 to 2015. Additionally, he pursued further studies at the University of Cambridge, completing a 4-month research internship in the Department of Statistics and Probability. He continued his education at École Normale Supérieure, achieving another Master of Science in Mathematics from 2015 to 2019.
Previous Work Experience
Before his current role at Inria, Ulysse Marteau Ferey worked as a Contractor at Capital Fund Management (CFM) from 2020 to 2021 for five months. He also served as an Oral Examiner in Mathematics ('Colleur') at Lycée Sainte-Geneviève for two separate periods: from 2015 to 2016 and from 2016 to 2017. These roles involved evaluating students in mathematics, contributing to his experience in academic settings.
Research Contributions
During his PhD studies at Inria, Ulysse Marteau Ferey has contributed to significant research in the fields of learning theory and optimization. His involvement with the SIERRA project-team highlights his focus on advanced mathematical concepts, particularly in Kernel spaces. His research is guided by prominent figures in the field, enhancing the impact of his work within the academic community.