Operations researcher and pianist, Professor Elaine Chew, joined King's as a Visiting Professor in Spring 2020.
Elaine is a senior CNRS researcher in the STMS Lab at IRCAM. She is principal investigator of the ERC ADG project COSMOS and POC project HEART.FM. Her work has been recognised by PECASE and NSF CAREER awards, and Fellowships at Harvard's Radcliffe Institute for Advanced Study. She is an alum (Fellow) of the NAS Kavli and NAE Frontiers of Science/Engineering Symposia.
Her research focuses on the mathematical and computational modelling of musical structures in music and electrocardiographic sequences. Applications include modelling of music performance, AI music generation, music-heart-brain interactions, and computational arrhythmia research. As a pianist, she integrates her research into concert-conversations that showcase scientific visualisations and lab-grown compositions.
Elaine is known for inventing the spiral array model, a geometric representation for tonality. She is author of numerous academic publications and centre of one of 9 publication clusters having ≥5 women in the international Music Information Retrieval community (ISMIR 2016 infometric study).
Her work has been featured in Der Spiegel, BBC Radio 3, BBC World Service, Los Angeles Philharmonic's Inside the Music, and in documentaries on Donald Coxeter (The Man Who Saved Geometry) and Ralph Modjeski (Bridging Urban America). She has recorded music on Albany (Doubles) and Neuma (Child's Play) Records.
She received PhD and SM degrees in Operations Research at MIT, a BAS in Mathematical & Computational Sciences (honors) and Music (distinction) at Stanford, and FTCL and LTCL diplomas in Piano Performance from Trinity College, London. She was Professor of Digital Media at QMUL (2011-2019), Assistant then tenured Associate Professor at USC (2001-2011) where she held the inaugural Viterbi Early Career Chair, and was Visiting Professor at Harvard (2008-2009) and Lehigh (2000-2001).
- Music and Artificial Intelligence
- Music-heart-brain Interactions
- Computational Arrhythmia Research
Research centres and groups