Summary
Edoardo De Matteis is a Ph.D. candidate and deep learning scientist based in Rome with eight years of experience in computer vision, representation learning, and 3D human motion analysis. He combines academic rigor at Sapienza with applied research in industry—past collaborations include ETH Zürich and Leonardo—producing award-winning work such as a Best Paper at the CVPR Precognition Workshop 2023. Currently contributing to multimodal foundation models within a €29M Horizon Europe project, he focuses on human-centered AI, motion forecasting, and AI safety while bridging theory and real-world sensor and vision systems. Beyond publications, he is committed to AI education and outreach, aiming to make complex models more accessible and societally beneficial.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Sapienza Università di Roma