Thomas Ryckeboer
About Thomas Ryckeboer
Thomas Ryckeboer is a research engineer with a background in computer science and network engineering. He has experience in various roles, including data science and research and development in computer vision, and currently works at Inria in Grenoble, France.
Current Role at Inria
Thomas Ryckeboer currently serves as an Ingénieur de recherche at Inria, a position he has held since 2021. His work focuses on research and development in the field of computer vision. In this role, he contributes to various projects aimed at advancing technology and methodologies in the domain. His expertise in research and engineering supports the objectives of Inria in fostering innovation.
Previous Experience at Inria
Prior to his current role, Thomas Ryckeboer worked at Inria as an Ingénieur R&D in computer vision from 2020 to 2021. During this 11-month tenure, he engaged in research projects that explored advancements in visual computing. His contributions during this period laid the groundwork for his ongoing work at the organization.
Education and Expertise
Thomas Ryckeboer studied at Grenoble INP Esisar, where he earned a Diplôme d'ingénieur in Computer Sciences and Network from 2015 to 2018. His educational background provided him with a solid foundation in engineering principles and technical skills. Additionally, he completed preparatory classes at CPGE - Lycée Gustave Eiffel Armentières, focusing on Physics and Technology from 2013 to 2015.
Professional Experience in Data Science
Thomas Ryckeboer has extensive experience in data science, having worked at norsys in various capacities. His roles included Data Scientist and Data Engineer from 2018 to 2020, where he contributed to data analysis and engineering projects. He also completed internships and projects in data science, enhancing his skills in this area.
Technical Contributions
Thomas Ryckeboer has made significant technical contributions, including the development and industrialization of the Cyanure library. He implemented continuous integration across three operating systems and benchmarked Cyanure against other solvers and various BLAS implementations. He also integrated it with the scikit-learn API, demonstrating his capability in software development and optimization.