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Pianist-mathematician Elaine Chew is a pioneering/veteran music information researcher forging new paths in MIR and cardiology. She is Professor and Founder/Director of the Digital Music Theranostics Lab in King’s College London’s School of Biomedical Engineering & Imaging Sciences. She taught/been researcher at CNRS-Paris (IRCAM), QMUL-C4DM, Harvard-Radcliffe, USC-Los Angeles.
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Elaine Chew is Professor and Founder/Director of the Digital Music Theranostics Lab at King’s College London’s School of Biomedical Engineering & Imaging Sciences and Department of Engineering. She studied piano (FTCL), music performance and mathematical/computational sciences (BAS Stanford) and operations research (SM, PhD MIT). A pioneer in music information research, she is forging new paths at the intersection of MIR and cardiovascular science. Her research models structures in music and physiological (cardiovascular) signals. Her work has been recognised by the ERC, PECASE, NSF CAREER, Harvard Radcliffe Institute, and Falling Walls Breakthrough of the Year 2023 (Art & Science).
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Elaine Chew is Professor and Founder/Director of the Digital Music Theranostics Lab at King’s College London’s School of Biomedical Engineering & Imaging Sciences since 2022. She was a senior CNRS researcher at IRCAM (STMS Lab) 2019–2022, Professor of Digital Media at QMUL’s Centre for Digital Music 2011–2019, and Assistant/Associate Professor at University of Southern California 2001–2013, where she held the Viterbi Early Career Chair. She studied piano (FTCL, LTCL), music performance and mathematical/computational sciences (BAS Stanford) and operations research (SM, PhD MIT). A pioneer/veteran in music information research, Elaine Chew is forging new paths at the intersection of MIR and cardiovascular science. Her research centres on the mathematical/computational modelling of music—she is inventor of the spiral array model—and physiological (cardiovascular) signals. Her work has been recognised by the ERC, PECASE, NSF CAREER, Harvard Radcliffe Institute for Advanced Study, Falling Walls Breakthrough of the Year 2023 (Art & Science).
(≤1000 characters)
Elaine Chew is Professor and Founder/Director of the Digital Music Theranostics Lab at King’s College London’s School of Biomedical Engineering & Imaging Sciences. She received PhD/SM degrees in Operations Research at MIT, BAS in Mathematical/Computational Sciences (honors) and Music Performance (distinction) from Stanford, and FTCL/LTCL piano diplomas. She has over 25 years’ experience in music information retrieval (math-models, expressivity, structure, cognition) and since 2016 is pioneering its integration with cardiovascular science, researching music representations of cardiac signals, music-heart mechanisms, and music-based cardiovascular diagnostics and therapeutics. Her research has been recognised by the ERC (ADG COSMOS, POC HEART.FM), Falling Walls Breakthrough of the Year 2023 (Art & Science), NSF CAREER/PECASE, Harvard Radcliffe Institute for Advanced Study. Before joining KCL, she held faculty/researcher posts at CNRS-STMS (IRCAM, Paris), QMUL (London), USC (Los Angeles).
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Elaine Chew is Professor of Engineering and Founder of the Digital Music Theranostics Lab at King’s College London’s School of Biomedical Engineering & Imaging Sciences in the Faculty of Life Sciences & Medicine and Department of Engineering in the Faculty of Natural, Mathematical & Engineering Sciences. A pianist and operations researcher by training, she has over 25 years’ research experience in music information retrieval and since 2016 has been pioneering its integration with cardiovascular science, researching music representations of cardiac signals, music-heart mechanisms, and music-based cardiovascular diagnostics and digital therapeutics. Her research has been recognised by the European Heart Rhythm Association (Best Innovation in AI and Digital Medicine in Clinical Electrophysiology), European Research Council (ADG COSMOS, POC HEART.FM), Falling Walls Breakthrough of the Year 2023 (Art & Science), National Science Foundation CAREER / Presidential Early Career Award in Science & Engineering, and Harvard Radcliffe Institute for Advanced Study (Edward, Frances, and Shirley B. Daniels Fellow in Mathematics). It has been featured on Le Monde, Der Spiegel, Zeit Online, Smithsonian Magazine, New Scientist, Philadelphia Inquirer, Wired Blog, MIT Technology Review, NPR, ClassicFM, Frankfurter Allegemeine, The Telegraph, etc. Her arrhythmia music has won an Unexpected Oscar for Best Original Music on BBC World Service. She received PhD/SM degrees in Operations Research at MIT, BAS in Mathematical/Computational Sciences (honors) and Music Performance (distinction) from Stanford, and FTCL/LTCL piano diplomas. She has previously held faculty/researcher posts at CNRS-STMS (IRCAM, Paris), QMUL (London), USC (Los Angeles), and visiting appointments at Harvard and Lehigh.
Bio : Research
