Michael A. Casey
Francis and Mildred Sears Professor
Professor of Computer Science
Professor of Music
Fusing neuroscience, music theory, and computation I design sytems and methods for effective music therapies and auditory neurostimulation for clinical applications. Our research is published in the Journal of Cognitive Neuroscience, Proceedings of the National Academy of Sciences, and Scientific Reports, among other leading journals. Funding was awarded by the National Science Foundation (NSF), the Mellon Foundation, the National Endowment for the Humanities (NEH), the Neukom Institute for Computational Science, Google Inc., Yahoo Inc., and the Engineering and Physical Sciences Research Council (EPSRC, UK).
Contact
Department(s)
Music; Computer Science
Education
- Ph.D. MIT Media Laboratory, Massachusetts Institute of Technology, USA
- A.M. Electroacoustic Music, Dartmouth College, USA
- B.A. (Hons) Music, University of East Anglia, UK
Selected Publications
Keating, M. and Casey, M., A Graph Engine for Guitar Chord-Tone Soloing Education, Proceedings of the International Computer Music Conference (ICMC 2025), Boston, MA
Casey, M. Auditory Neural Decoding of Music Perception and Imagination, NSF Telluride Neuromorphic Cognition Engineering Workshop, July, 2025.
Feng, Y. and Casey, M., Phrase-Level Symbolic Music Generation, AI and Music Creativity (AIMC 2024), University of Oxford, Sep. 2024.
Keating, M. and Casey, M., Jazz Guitar Voice-Leading Chord Fingerings With Long Short-Term Memory, AI and Music Creativity (AIMC 2024), University of Oxford, Sep. 2024.
Works In Progress
I am currently working on projects in Music and Medicine, Creative AI, and the Cognitive Neuroscience of Music and Imagination.