Nathan is a researcher with a PhD from Sorbonne University whose expertise encompasses NLP, multimodal learning, and generative methods with deep learning models. He began his career by working on music generation topics using techniques inspired by natural language processing (NLP). His work has been showcased at major scientific conferences, and he plays a key role in advancing leading open-source software initiatives.
