Thomas Cenci

Thomas Cenci holds an Engineer's degree in Computer Science and Data Science from Polytech Annecy-Chambéry and a Master of Science in Computer Science from Université de Sherbrooke. Currently serving as an Artificial Intelligence and Computer Vision Developer at Waste Robotics since May 2023, Thomas focuses on enhancing computer vision for waste sorting solutions. Previously, Thomas completed an internship at CIUSSS de l'Estrie - CHUS, developing a Deep Neural Network to improve attenuation correction in Positron Emission Tomography images. Thomas also gained experience at Laboratoire Pacte, where a VR visualization tool for autonomous systems was created. Educational background includes preparatory classes at Polytech Clermont and Lycée Militaire de Saint-Cyr, along with an exchange program in Toronto at EC English Language Centres.