Summary
Thomas Feron is an application manager and former computer vision engineer with 13 years of experience applying AI and software to industrial automation and phenotyping systems. With a PhD background at Forschungszentrum Jülich and hands-on research in plant modeling and deep-learning root phenotyping, he bridges biology and engineering to turn complex scientific models into production-ready solutions. At Colruyt Group Technics he manages ICT systems for projects ranging from checkout and sorting robots to digital farming platforms, combining operational ownership with a researcher's rigor. A Haskell developer by inclination, he brings functional programming discipline to data-heavy pipelines and embedded vision projects. He is comfortable translating academic innovations into scalable automation in retail and agriculture, and often operates where robotics, CV and crop modeling intersect. Based in Halle, Belgium, he pairs domain expertise in agronomy with practical experience deploying AI in real-world industrial settings.
13 years of coding experience
3 years of employment as a software developer
Master's degree Bio-Science Engineering - Agronomy - Information Management, Master's degree Bio-Science Engineering - Agronomy - Information Management at Université catholique de Louvain
Master Thesis Agronomy - Artificial Intelligence - Information management, Master Thesis Agronomy - Artificial Intelligence - Information management at Agro Louvain - Faculty of Bioscience Engineering
French, English, Dutch