Thibault C.

Thibault C.

Research Engineer @ Inria

About Thibault C.

Thibault C. is a Research Engineer at Inria, specializing in natural language processing as part of the ALMANACH team. He has a background in computer science and has previously worked in various roles, including as a Continuous Integration developer and a research student in machine learning.

Work at Inria

Thibault C. has been a Research Engineer at Inria since 2021. He is part of the ALMANACH team, which focuses on research in natural language processing. His role involves applying advanced techniques in this field to various projects, including those aimed at enhancing legal consistency. Thibault collaborates with institutions such as the Cour de Cassation to improve the consistency of jurisprudence through natural language processing.

Education and Expertise

Thibault C. holds an Engineering degree in Computer Science from EISTI, which he completed from 2015 to 2020. He also earned a Licence in Computer Science from Université de Cergy-Pontoise between 2015 and 2018. Prior to his university studies, he obtained a Baccalauréat scientifique in Mathematics from Oratoire St Marie from 2012 to 2015. His educational background provides a solid foundation in both theoretical and practical aspects of computer science and machine learning.

Background

Before joining Inria, Thibault C. gained diverse experience in various roles. He worked as a Continuous Integration developer at Total for three months in 2018 and later served as an Intern in Artificial Intelligence at the same company for five months in 2020. In 2019, he was a Research Student in Machine Learning at 慶應義塾大学 in Tokyo for four months. Additionally, he volunteered as a WWOOFer at an organic farm in East Grinstead, England, for one month in 2017.

Projects and Collaborations

Thibault C. has been involved in significant projects that utilize natural language processing. Notably, he collaborated with the Cour de Cassation on a project aimed at improving the consistency of jurisprudence. This project leverages natural language processing techniques to enhance legal consistency, demonstrating his commitment to applying technology in the legal field.

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