Guillaume Le Guludec
About Guillaume Le Guludec
Guillaume Le Guludec is a Research Engineer at Inria in Rennes, France, specializing in light field reconstruction techniques using deep learning models since 2020. He has a background in theoretical computer science and has previously worked as a software engineer and trainee engineer.
Work at Inria
Guillaume Le Guludec has been employed at Inria as a Research Engineer since 2020. He is based in Rennes, Bretagne, France, where he engages in advanced research projects. His work primarily focuses on the integration of deep learning techniques with real-world applications. Over the past four years, he has contributed to the development of light field reconstruction methods, utilizing deep learning models to enhance the effectiveness of these techniques.
Previous Experience
Prior to his current role, Guillaume Le Guludec worked as a Trainee Engineer at Inria for five months in Palaiseau in 2016. He also served as a Software Engineer at UpSlide from 2017 to 2019, where he gained valuable experience in software development. His background includes a range of technical skills that support his current research endeavors.
Education and Expertise
Guillaume Le Guludec holds a Master's degree in Theoretical Computer Science from Université Paris-Saclay, which he completed from 2015 to 2016. He also earned an Engineer's degree in Computer Science from Telecom ParisTech, where he studied from 2013 to 2017. His educational background provides a strong foundation for his research in deep learning and its applications.
Research Focus
Since 2020, Guillaume Le Guludec has been involved in research that explores the intersection of deep learning and compressed measurement techniques. His work aims to advance the field of light field reconstruction by leveraging deep learning models. This focus on practical applications of deep learning reflects his commitment to addressing real-world challenges through innovative technology.