He holds a Ph.D. in Computer Vision and Machine Learning from University of La Rochelle, France. During the Ph.D. he was mainly focused on the application and development of advanced matrix and tensor methods for robust low-rank/sparse representation and subspace learning of multidimensional and streaming data, such as moving object detection and background-foreground separation in multi-spectral and multi-featured video sequences. He is a Senior AI Research Engineer, and Head of Machine Learning team at ActiveEon, Paris, and he is leading the Artificial Intelligence team at Paris. He works in the intersection of scientific research and software engineering, by bringing cutting-edge AI technologies to the core platform of ActiveEon. He develop and integrate state-of-the-art machine learning, deep learning, and computer vision algorithms to automate and orchestrate AI-based workflows, scaling-up with parallel and distributed execution. His research activities include intelligent video analysis for object detection, segmentation, and tracking, to perform event/action recognition and behavior classification/prediction.