Summary
Oriel Frigo is a Lead Machine Learning Researcher based in Nice with over a decade of experience building production-grade generative AI for visual effects and filmmaking. He has led research teams and shipped diffusion- and transformer-based video generation tools used in major feature films and award-winning music videos, and his work earned a VES Emerging Technology award. His expertise spans distributed large-scale training (FSDP, ring attention, Ulysses), latent disentanglement with GANs/autoencoders, and multimodal conditioning using text, audio, images and 3DMMs. Comfortable bridging research and studio production timelines, he also brings a strong academic foundation (PhD in Applied Mathematics–Computer Vision) and a history of practical systems work from embedded computer vision to real-time 3D reconstruction. Notably, he presented invited research at SIGGRAPH 2025, signaling influence at the intersection of generative media research and film production.
11 years of coding experience
12 years of employment as a software developer
Master of Science (MSc) Optique Image and Vision, Master of Science (MSc) Optique Image and Vision at Université Jean Monnet Saint-Etienne
Technician Electronics, Technician Electronics at Escola Técnica Tupy
Bachelor Computer Science, Bachelor Computer Science at Universidade do Estado de Santa Catarina
Master of Science (MSc) - Exchange semester Computer Science Color Science, Master of Science (MSc) - Exchange semester Computer Science Color Science at University of Eastern Finland
Doctor of Philosophy (PhD) Applied Mathematics - Computer Vision, Doctor of Philosophy (PhD) Applied Mathematics - Computer Vision at Université Paris Cité
Portuguese, English, French, Spanish, Italian