Summary
Hugo Caselles-dupré is a research director and co-founder of Obvious Research, leading an ANR-funded lab (RENAISSANCE) at the intersection of generative AI and artistic creation in partnership with ISIR (Sorbonne Université). With a PhD in Machine Learning and a postdoc on teachability of autonomous agents, he blends deep academic expertise in representation and reinforcement learning with practical experience creating high-profile art-tech projects (Obvious’s Edmond de Belamy sold at Christie’s). Over a decade of experience spans founding collectives (Obvious, NFT Factory), industry internships (Deezer) and CIFRE collaboration with SoftBank Robotics, reflecting fluency in both theory and applied ML. He is recognized as a Forbes 30 Under 30 and actively builds teams—hiring interns, postdocs and engineers—to push generative models for image, video and sound. A mathematician at heart, he often frames ML problems through rigorous theoretical lenses while pursuing creative, cross-disciplinary outcomes.
9 years of coding experience
7 years of employment as a software developer
Master's degree in Mathematics, Computer Vision and Machine Learning. (Obtained with honours), Machine learning, Master's degree in Mathematics, Computer Vision and Machine Learning. (Obtained with honours), Machine learning at MVA - École Normale Supérieure Cachan
Engineer's degree in Machine Learning and Statistics., Engineer's degree in Machine Learning and Statistics. at Ensae ParisTech
CPGE PC, CPGE PC at Saint-Louis
CPGE PCSI, CPGE PCSI at Saint-Louis (Paris V)
Engineer's degree in Telecommunications and Applied Mathematics., Engineer's degree in Telecommunications and Applied Mathematics. at Télécom SudParis
French, English, Spanish, Japanese, Chinese