Loading AI tools
Elaine Chew is an operations researcher and pianist focused on the study of musical structures as they apply to musical performance, composition and cognition,[3] the analysis of electrocardiographic traces of arrhythmia,[4][5] and digital therapeutics.[1][6] She is currently Professor of Engineering at King's College London, where she is jointly appointed in the Department of Engineering (Faculty of Natural, Mathematical & Engineering Sciences) and the Department of Cardiovascular Imaging in the School of Biomedical Engineering & Imaging Sciences (Faculty of Life Sciences & Medicine).[7]
Elaine Chew | |
|---|---|
| Born | |
| Citizenship | USA, UK |
| Alma mater | |
| Awards | European Research Council Advanced Grant,[1] Presidential Early Career Award for Scientists and Engineers[2] |
| Scientific career | |
| Fields | operational research, mathematics, music cognition, piano performance, computer science |
| Institutions | King's College London, French National Centre for Scientific Research, Institut de Recherche et Coordination Acoustique/Musique, Queen Mary University of London, University of Southern California, Lehigh University, Harvard University, Massachusetts Institute of Technology |
| Thesis | Towards a mathematical model of tonality (2000) |
| Doctoral advisor | Jeanne S. Bamberger (supervisor), Georgia Perakis |
| Website | https://www.kcl.ac.uk/people/elaine-chew |
Born in Buffalo, New York, Chew grew up in Singapore, returning to the US after high school for further studies.[8] She received a Bachelor of Arts and Sciences in Mathematical and Computational Sciences with honours and Music with distinction from Stanford University. Her PhD thesis in the Operations Research Center at MIT was focused on the mathematics of tonality.[9] Chew holds diplomas in piano performance from Trinity College, London.[10]
Chew has designed a theory of tonality called the spiral array model.[11][12] This is a mathematical model using spirals to describe how humans perceive pitches, chords and keys in mainstream Western music. Chew wrote Mathematical and Computational Modeling of Tonality, a book about her work on mathematical and computational techniques for automated analysis and visualisation of tonal structures, in 2014.[13]
Chew was an assistant professor at the University of Southern California (USC) from 2001 to 2011,[14] where she was the inaugural honouree of the Viterbi Early Career Chair[15] and founded the Music Computation and Cognition Laboratory. At USC, Chew encouraged her students to use technology to explore expressivity in music.[16] Chew was Professor of Digital Media in the School of Electronic Engineering and Computer Science at Queen Mary University of London from 2011 to 2019, where she founded the Music, Performance, and Expressivity Laboratory at the Centre for Digital Music. From 2019 to 2022, Chew was a senior Centre National de la Recherche Scientifique (CNRS) researcher at the Science et Technologies de la Musique et du Son (STMS) Laboratory and also affiliated with the Institut de Recherche et Coordination Acoustique/Musique (IRCAM), Sorbonne University, and the French Ministry of Culture.[17]
As a concert pianist, Chew plays for audiences while communicating her research, often by showing mathematical visualisations alongside the performances.[18][19][20]
- European Research Council funding for the project COSMOS: Computational Shaping and Modeling of Musical Structures (2018)[21]
- Presidential Early Career Award in Science and Engineering (2005)[22]
- Fellowships at Harvard's Radcliffe Institute for Advanced Studies (2007 and 2017)[23]
- Fellow of the (US) National Academy of Science's Kavli Frontiers of Science Symposia[24] and of the (US) National Academy of Engineering's Frontiers of Engineering Symposia for outstanding young scientists and engineers[25]
Wikiwand in your browser!
Seamless Wikipedia browsing. On steroids.
Every time you click a link to Wikipedia, Wiktionary or Wikiquote in your browser's search results, it will show the modern Wikiwand interface.
Wikiwand extension is a five stars, simple, with minimum permission required to keep your browsing private, safe and transparent.
