Quentin Bammey is a researcher at Télécom Paris (IMT, IP-Paris, LTCI, IDS, Images team). Before that, he worked at EPFL, Image and Visual Representation Lab, and at École Normale Supérieure Paris-Saclay, Université Paris-Saclay, Centre Borelli, CNRS, in Gif-sur-Yvette, France, where he obtained his PhD in applied mathematics in 2021. Most notably, he invented the concept of Positional Learning, a technique to reveal, mimic, and analyse underlying frequency components in images. This technique is seeing great uses in forensics, for forgery detection and AI-generated image detection. He was also involved in the coordination and development of the BrevetAI platform to offer a learning-by-doing training on artificial intelligence and disseminate knowledge about AI to the public.

Quentin is also a Hi! PARIS Hi! PACE Professor, a program aimed at strengthening our academic offering, supporting new program launches, and responding to the growing demand for excellence in AI education.