Hector Kohler
About Hector Kohler
Hector Kohler is a research intern with a strong academic background in mathematics, computer science, and artificial intelligence. He has gained practical experience through internships at notable organizations such as Airbus, ENSTA Bretagne, and Barclays, and is currently conducting research at Inria in Lille, France.
Current Position at Inria
Hector Kohler currently serves as a Research Intern at Inria, a prominent research institution in France. He has held this position since 2022 and is based in Lille, Hauts-de-France. His work involves conducting research on semantic representations for interpretable reinforcement learning. He collaborates with Dr. Riad Akrour and Prof. Philippe Preux, contributing to advancements in the field of artificial intelligence.
Educational Background
Hector Kohler completed his Bachelor of Science (BS) in Mathematics and Computer Science at The University of Manchester from 2016 to 2020. He furthered his education by obtaining a Master of Science (MS) in Artificial Intelligence, Robotics, and Decision from Sorbonne Université, where he studied from 2020 to 2022. This educational foundation has equipped him with a strong understanding of both theoretical and practical aspects of his field.
Previous Work Experience
Before his current role, Hector Kohler gained diverse experience through various internships. He worked as a Data Science Intern at Airbus for two months in 2017 in the Région de Madrid, Spain. In 2021, he served as a Research Intern at ENSTA Bretagne for three months in Brest, Brittany, France. Additionally, he was a Summer Analyst at Barclays for seven months in 2018 at Radbroke Hall, and he participated in a Reinforcement Learning Student Research Project at Sorbonne Université for four months in 2021.
Research Focus and Contributions
Hector Kohler's research primarily focuses on reinforcement learning, particularly in the area of semantic representations for interpretable systems. His involvement in the Inria Scool team highlights his commitment to advancing research in this domain. Through his academic and internship experiences, he has developed a solid foundation in artificial intelligence and machine learning methodologies.