Jérémie Decock

Jérémie Decock, PhD has a diverse and extensive work experience in the field of artificial intelligence, machine learning, and optimization. Jérémie has held roles such as Head of Machine Learning/Optimization at Accenta.ai, Teaching Fellow and Teaching Assistant at École Polytechnique, Postdoctoral Fellow at CEA specializing in image processing for high-energy astrophysics, and Research Scientist at INRIA where they worked on optimizing convex functions. Jérémie has also gained practical experience through various internships at the Institute of Intelligent Systems and Robotics, focusing on human motor control experiments and robot simulator development.

Jérémie Decock earned a Master's degree in Information Technology and Management from Université Paris Cité in 2008. Jérémie then pursued a Master's degree in Artificial Intelligence and Decision at Pierre and Marie Curie University, completing it in 2011. Subsequently, they obtained their Ph.D. in Computer Science with a focus on Machine Learning and Mathematical Optimization from Université Paris Sud (Paris XI) in 2014.