Summary
Dave Moffat is an AI and Data Science Lead with 12 years of experience bridging academic research and hands-on technical delivery in audio, signal processing, and live-event technology. He holds a PhD in audio-related DSP and has moved research into practice—building real-time embedded audio systems, VST plugins with JUCE, and machine-learning-driven musical tools. At Plymouth Marine Laboratory he now applies AI and data science skills to environmental datasets while continuing freelance work as an audio technology consultant for startups, VC due diligence, and embedded audio products. His background running technical production for theatre, TV and live events gives him a rare combination of rigorous research, production-grade engineering, and client-facing project leadership. Colleagues rely on him to translate complex signal-processing ideas into robust, real-time products that work under pressure.
12 years of coding experience
7 years of employment as a software developer
Artificial Intelligence and Computer Science, Informatics, BSc(Hons), Artificial Intelligence and Computer Science, Informatics, BSc(Hons) at The University of Edinburgh
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Queen Mary, U. of London
English