John Ashley Burgoyne is an Assistant Professor in Computational Musicology at the University of Amsterdam and unit leader of the Language, Music, and Cognition unit at the Institute for Logic, Language, and Computation. Cross-appointed in Musicology and Artificial Intelligence, he is interested in understanding musical behaviour at the audio level, using large-scale experiments and audio corpora. His McGill–Billboard corpus of time-aligned chord and structure transcriptions has served as a backbone for audio chord estimation techniques. His Hooked on Music project reached hundreds of thousands of participants in almost every country on Earth while collecting data to understand long-term musical memory. Currently, he is working through the Amsterdam Music Lab to understand what people are hearing – and what they are ignoring – while they stream music every day.