Roman Gambelin
About Roman Gambelin
Roman Gambelin is a Doctoral Researcher at Inria in Paris, specializing in mathematics and data science. He has a diverse background in operations research and data analysis, with previous internships at Amazon, Tradelab, and AXA.
Work at Inria
Roman Gambelin has been employed at Inria as a Doctoral Researcher since 2020. His work is based in Paris, Île-de-France, France. Inria is a prominent research institution that focuses on computer science and applied mathematics. As a doctoral researcher, Gambelin engages in advanced research activities, contributing to the field through his expertise in mathematics and data processing.
Previous Work Experience
Prior to his current role, Gambelin gained diverse professional experience. He interned at Amazon in Operations Research for three months in 2018 in Luxembourg. In 2017, he worked as a Data Science intern at Tradelab Programmatic Platform for five months in the Paris Area. He also completed a two-month internship in Risk Analysis at AXA in 2016, and worked as a Warehouse temporary employee at Manpower France from 2014 to 2015 during holidays.
Education and Expertise
Gambelin has a robust educational background in mathematics and statistics. He achieved a Doctor of Philosophy (PhD) in Mathematics from Ecole normale supérieure from 2020 to 2023. He also holds multiple Master's degrees, including one in Pure & Applied Mathematics from PSL Research University, Probability & Stochastic Models from Sorbonne Université, and Econometrics & Statistics from Toulouse School of Economics. His Bachelor's degree in Economics & Mathematics was obtained from Toulouse School of Economics from 2013 to 2016.
Research Interests
Roman Gambelin has a strong interest in functional analysis and group theory, alongside probability-related topics. His academic pursuits reflect a commitment to exploring state-of-the-art techniques and technologies in these areas. This focus informs his research activities at Inria, where he applies his knowledge to address complex mathematical problems.
Programming Skills Development
Through various internships and academic projects, Gambelin has developed robust programming skills, particularly in data processing. His experiences in different roles have equipped him with practical knowledge and technical abilities that enhance his research capabilities in mathematics and data science.