Machine Learning Engineer & PhD Researcher
Machine Learning Engineer & PhD Researcher
Specialising in Real-Time Audio AI, Low-Latency Algorithm Design, and Production ML Deployment
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I build intelligent systems that process audio in real time.
My research sits at the intersection of machine learning, audio signal processing, and low-latency algorithm design — a combination that very few practitioners bring together. I specialise in taking ML models from research prototypes to production-deployed systems.
Currently completing my PhD in Computer Science at Maynooth University, Ireland, I am also the founder of Intonation Labs Pte. Ltd., an AI consulting and music technology company registered in Singapore.
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PhD Research
Developing real-time web-based tuning algorithms that bridge the gap between 12-tone equal temperament and Just Intonation, using ensemble ML prediction and n-gram fingerprinting.
Thesis: "Instant Harmonies — Enhancing Music with Web-Based Just Intonation Tuning Algorithms"
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Production-Deployed ML
Instant Harmonies is a live, publicly accessible system for real-time music analysis and adaptive audio tuning. It combines ensemble ML prediction with ultra-low-latency audio processing — built from research to production by a single engineer.
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Intonation Labs
Specialist AI and ML consulting for startups and SMEs, with deep expertise in real-time inference, audio intelligence, and production ML deployment. Currently developing HarmoniAI, an AI-powered music coaching platform.
Publications
Publications
2025
MIDI Adaptive Tuning Strategies by Means of AI-Based Struck-String Interaction in Ubimus
Su, R., Timoney, J., & Keller, D.
Ubimus Journal · August 2025
2024
Just Intonation and Inharmonicity in Struck-String Interaction
Su, R., Timoney, J., & Keller, D.
Proceedings of the Ubiquitous Music Symposium 2024 (UbiMus 2024) · October 2024
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