Hubert Dellon
About Hubert Dellon
Hubert Dellon is a Research Intern at InstaDeep Ltd, specializing in machine learning and reinforcement learning methods. He holds a Master of Science in Advanced Computing from Imperial College London and has extensive internship experience in research and software engineering.
Work at InstaDeep
Hubert Dellon has been working as a Research Intern at InstaDeep Ltd since 2022. His role involves designing and training machine learning models using GPU clusters. He is currently focused on reinforcement learning methods to automate PCB routing. Additionally, he is involved in developing innovative techniques to address path-finding problems through reinforcement learning and combinatorial optimization.
Education and Expertise
Hubert Dellon holds a Master of Science in Engineering from IMT Atlantique, where he studied from 2019 to 2023. He also completed a Master of Science in Advanced Computing at Imperial College London from 2021 to 2022. His academic background includes a student exchange program at UC San Diego in Computer Science in 2021. He completed his Baccalauréat Scientifique at Lycée Jeanne d'Albret in 2017 and pursued a preparatory class in Mathematics, Physics, Chemistry, and Computer Science at Lycée Pasteur from 2017 to 2019.
Background
Hubert Dellon has a diverse educational and professional background. He began his studies at Lycée Jeanne d'Albret, followed by a preparatory class at Lycée Pasteur. His academic journey includes significant international experience, such as a student exchange at UC San Diego. Prior to his current position, he completed several internships, including a month-long internship at CNRS in Paris in 2013 and various roles in engineering and research at companies like iXblue and Air Liquide.
Internship Experience
Throughout his career, Hubert Dellon has gained valuable internship experience across various organizations. He worked as a Software Engineer Intern at iXblue for one month in 2021 and as a Research & Development Intern at Air Liquide for one month in 2020. Additionally, he completed a Master's Thesis at Imperial College London in 2022, which lasted five months. These experiences have contributed to his expertise in machine learning and engineering.