Ben Hayes
Associate Researcher
London, England, France
Summary
👤
Senior🎓
Top SchoolBen Hayes is an audio machine learning researcher and Associate Researcher at Sony CSL with nine years' experience at the intersection of differentiable signal processing, musical timbre, and AI-driven music. Currently a PhD candidate at Queen Mary University of London funded by the UKRI AI & Music CDT, he blends academic depth with industry impact from roles at Jukedeck (pre-TikTok acquisition), ByteDance, Spotify, and internships at Sony CSL. As a former team lead and music lead he pairs product-minded research with practical system-building, and he also teaches electronic music at the Guildhall School of Music & Drama. An electronic musician signed to R&S Records, he brings rare practitioner insight into generative audio systems and timbral evaluation. Notably, his profile bridges creative practice and cutting-edge research, enabling collaborations that translate musical intuition into differentiable models and real-world audio products.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Queen Mary University of London
English, French
Github Skills (31)
loss-functions10
temporal9
timbre9
pytorch9
jekyll-theme9
github-pages9
audio9
jekyll9
ableton-live9
pitch8
self-supervised-learning8
gradient-descent8
web-application7
magenta7
digital-signal-processing7
Programming languages (7)
Github contributions (5)
signas-qmul/online-timbre-similarity
May 2020 - Jul 2020
A web-app for conducting an online timbre dissimilarity study.
Contributions:80 commits, 19 PRs, 37 pushes in 1 month
webappweb-applicationconductingtimbre
ben-hayes/catecophony
Apr 2020 - Jan 2021
Real-time concatenative re-synthesis VST. Very WIP. Much broken.
Contributions:1 release, 35 commits, 24 pushes in 8 months
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