Udio

Holds an AB from Harvard and MPhil from Oxford, both in history, and completed doctoral work in history at Oxford. Previously worked as a Product Manager at Yext and Vision Government Solutions, with roles including Academic Director at Great Books Summer Program and MCR President at the University of Oxford. Co-founded Cartography Biosciences in 2020 alongside Ansuman Satpathy and Howard Chang. Conducted doctoral research on how societies respond to high levels of change—foundational knowledge that directly informs his approach to Udio's mission of navigating institutional resistance to generative music technology. Emphasizes direct engagement with artists and passionate about ensuring artists and songwriters benefit from AI's potential.

Earned a PhD in machine learning from the University of Edinburgh (2015–2019) before joining DeepMind as a researcher focused on generative models. Previously worked on Google's generative AI systems for images and music, including Imagen and Lyria. Published research on autoregressive generative models including PolyGen (3D mesh generation) and sparse image representations. Co-founded Udio in December 2023 alongside David Ding, Conor Durkan, and Yaroslav Ganin—all former Google DeepMind researchers. His background in sequence modeling and multimodal generative systems directly informs Udio's text-to-music architecture.

Grew up in Ireland and studied mathematics at University College Cork (with a year at UC Berkeley) before completing a PhD at the University of Edinburgh on generative modeling and likelihood-free inference. Before co-founding Udio, worked as a research scientist at DeepMind in London on generative models for image and audio like Imagen and Lyria. Co-founded Udio in December 2023 with fellow former Google DeepMind researchers. Background bridges deep technical expertise in large-scale generative AI with years of hands-on experience in music production—credited a decade at music technology company LANDR with learning "about business, communication, and creativity," putting him "at the forefront of the massive technological and creative shift."

Studied mathematics and computer science at Harvard University, where he won a $50,000 scholarship for research on representation theory. Previously worked at DeepMind as a Senior Research Engineer, where he authored multiple peer-reviewed papers presented at NeurIPS 2021 and contributed to foundational work in machine learning. Also brings experience from Dropbox and Vatic Labs, the latter a quantitative trading firm where AI researchers and technologists develop autonomous trading agents. Founded Udio in December 2023 with a team of former Google DeepMind researchers. His background includes a passion for music and technology, playing classical piano, bridging his deep AI research expertise with creative application in generative music.

Co-founder and one of four core researchers who launched Udio from Google DeepMind in December 2023. Previously worked at DeepMind, Mila (Quebec AI Institute), and Skoltech. PhD candidate at MILA advised by Yoshua Bengio. His research introduced domain-adversarial training of neural networks for domain adaptation—work that addressed how deep learning models can transfer across different data distributions. Key contributor to Google DeepMind's Lyria, an advanced music generation model. His trajectory from foundational ML research to production generative audio reflects technical depth applied directly to consumer product development.