I’m an ML Engineer and co-lead of the AI codec team at InterDigital. I have a deep interest in the 'plumbing' of machine learning—specifically performance optimization, compilation, and the challenges of getting models running efficiently hardware. Before moving into engineering, I earned my DPhil in Mathematics at Oxford, studying the geometry behind string theory.
Background in mathematics (DPhil, Oxford) where I explored the intersection of geometry and string theory.
London, United Kingdom
Director, AI Codec Team
Oct 2025 - PresentInterDigital
Co-leading the AI codec team in London following InterDigital's acquisition of Deep Render. Advancing next-generation neural video compression technologies, combining decades of video research with cutting-edge AI.
Head of Engineering
Oct 2023 - Oct 2025Deep Render
Technical lead and manager of 15 engineers responsible for productization of research models and internal hardware/software infrastructure. Built unified model inference library for major AI accelerators (Nvidia, Apple, Qualcomm, Intel) and CI/CD system reducing model port times from weeks to days.
InterDigital Acquires Deep Render
Oct 2025Featured in press release: "InterDigital is the perfect home for Deep Render's end-to-end AI-based video compression technology... together we are uniting decades of video research with cutting-edge AI to drive the next generation of compression technologies."
Interview with Jan Ozer demonstrating the world's first AI codec running in FFmpeg and VLC—50% better compression than AV1, real-time encode, 2X decode on consumer devices.
Presentation at IP Group event on the future of AI-driven video compression.