Summary
Jeremy Uzan is a Director of AI and Advanced Technology with 8 years of experience at the intersection of audio engineering, machine learning, and signal processing, currently shaping ethical, artist-centric AI at Universal Music Group. He holds a Master’s from Sorbonne Université and a strong research background from IRCAM and Sony, where he developed and deployed lightweight generative audio models across laptops and embedded devices like Raspberry Pi. Jeremy’s expertise spans audio synthesis, compression techniques, watermarking, and public-key provenance technologies, blending deep mathematical modeling with practical productization. He has hands-on experience building real-time audio systems (Max/MSP, Dante) and secure audio payloads for drones, demonstrating a rare mix of acoustics, cryptography interest, and systems engineering. Colleagues know him for turning advanced research (HRTF, diffusion/GANs, encoder-decoder models) into usable plugins and tools, and for driving responsible AI strategies that prioritize creators.
8 years of coding experience
2 years of employment as a software developer
Master ATIAM, Signal processing and Acoustics, Master ATIAM, Signal processing and Acoustics at Sorbonne Université
Bachelor's degree, Computer Science, Graduated with Honors, Bachelor's degree, Computer Science, Graduated with Honors at Université Pierre et Marie Curie