Huỳnh Tấn Khiêm
About Huỳnh Tấn Khiêm
Huỳnh Tấn Khiêm is a Research Intern at Inria in Paris, where he has been working since 2023. He has a strong academic background in Artificial Intelligence and Machine Learning, having completed multiple degrees at Sorbonne Université and l'INSA Centre Val de Loire.
Work at Inria
Currently, Huỳnh Tấn Khiêm serves as a Research Intern at Inria in Paris, Île-de-France, France. He began this role in 2023 and is expected to complete a one-year internship. During his time at Inria, he contributes to research focused on the visual discovery of the physical laws of light propagation as part of the ASTRA team. His work is supervised by Raoul de Charette and Ivan Lopes, who guide him in his research endeavors.
Previous Experience in Data Science
Before joining Inria, Huỳnh Tấn Khiêm worked as a Stagiaire Data Scientist at Easyence in Paris, Île-de-France, France. This position lasted for three months in 2022, where he gained practical experience in data science, contributing to projects that likely involved data analysis and interpretation.
Education and Expertise
Huỳnh Tấn Khiêm has a strong academic background in fields related to artificial intelligence and data science. He studied at Sorbonne Université, where he completed a Master 1 focusing on Artificial Intelligence, Robotics, and Operation Research from 2021 to 2022. He furthered his education at Sorbonne Université by achieving a Master 2 in Machine Learning and Deep Learning from 2022 to 2023. Additionally, he obtained a Diplôme d'ingénieur from l'INSA Centre Val de Loire, specializing in information systems security from 2020 to 2021. His foundational education includes a focus on Physics at Le Quy Don High School for the Gifted from 2015 to 2018.
Research Contributions
During his internship at Inria, Huỳnh Tấn Khiêm has contributed to significant research initiatives. He is involved with the ASTRA team, focusing on the visual discovery of the physical laws of light propagation. This research aims to enhance understanding in the field of optics and may have implications for various applications in science and technology.