Ewen Michel
About Ewen Michel
Ewen Michel is a Research Intern in Conversational AI currently working at Inria in Paris, France. He has a background in mathematics and artificial intelligence, with previous internships and roles in communication and technical management.
Work at Inria
Ewen Michel currently holds the position of Research Intern in Conversational AI at Inria, a prominent research institution located in Paris, Île-de-France, France. He has been engaged in this role since 2022, contributing to projects focused on advancing conversational artificial intelligence technologies. His work involves applying theoretical knowledge to practical challenges in the field, reflecting a commitment to innovation in AI.
Previous Experience in Research
Prior to his current role, Ewen Michel worked as a Research Intern at ScienceAtHome for five months in 2021. This experience allowed him to gain insights into collaborative research environments and further develop his skills in scientific inquiry and analysis. His involvement in research projects has laid a strong foundation for his ongoing work in AI.
Education and Expertise
Ewen Michel studied at Université de Bretagne Occidentale, where he earned a Licence in Mathematics from 2017 to 2019. He furthered his education at CentraleSupélec, achieving a Diplôme d'ingénieur in Artificial Intelligence and Mathematics from 2019 to 2023. Currently, he is pursuing a Master's degree in Data Science and Machine Learning at Université Paris-Saclay, enhancing his expertise in data-driven technologies.
Professional Background
Ewen Michel has a diverse professional background that includes roles as a Communication Officer at SBCS - Sono Barco CentraleSupélec and as a Technical Manager at WEI CentraleSupélec, both positions held from 2019 to 2021 in the Paris area. These roles provided him with experience in communication and technical management, complementing his research interests.
Interest in Natural Language Processing
Ewen Michel has a strong interest in Natural Language Processing (NLP), a subfield of artificial intelligence that focuses on the interaction between computers and human language. This interest aligns with his current research at Inria, where he explores conversational AI, aiming to improve how machines understand and generate human language.