Lecturer In Audio Signal Processing at Queen Mary University of London
London, England, United Kingdom
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Summary
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Senior
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Top School
Jordan Smith is a lecturer and researcher in audio signal processing with 12 years of experience bridging academic research and product-focused R&D in music and audio AI. He holds a PhD in EECS and has developed patented AI-driven music and video generation systems at TikTok, built deep-learning models for instrument identification at IRCAM, and led music-engagement research at AIST. His specialty is musical repetition—studying perception, predictive modeling, and practical tools that assist listeners and composers—and he has a track record of turning those models into production-ready code and course material. Based in London, he now helps design a new Digital Media Technology programme at Queen Mary while continuing research-driven teaching. An uncommon strength is his ability to move seamlessly from inventing novel algorithms to shipping tested, CI-backed implementations that impact both scholarship and consumer products.
13 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Operations Research Engineering, Master of Science (MS), Operations Research Engineering at University of Southern California
Master's, Music Technology, Master's, Music Technology at McGill University
AB, Music and Physics, AB, Music and Physics at Harvard University
Doctor of Philosophy (PhD), Electrical Engineering and Computer Science, Doctor of Philosophy (PhD), Electrical Engineering and Computer Science at Queen Mary, U. of London
Contributions:9 commits, 6 pushes, 1 branch in 1 year 8 months
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