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Michael Casey is an international award-winning composer (IMEB Bourges, NEWCOMP) and a researcher in the fields of music informatics, music and AI, machine listening, and the cognitive neuroscience of music. His work aims to reveal the effects of music on the body and the brain, thereby inspiring new forms of sonic creativity for health applications. He has received funding from the National Science Foundation (NSF), the Mellon Foundation, the Neukom Institute for Computational Science, Google Inc., Yahoo Inc., the Engineering and Physical Sciences Research Council (EPSRC, UK), and the National Endowment for the Humanities (NEH). He is former chair of the department of music and director of the MA program in Digital Musics at Dartmouth.
Feng, Y. and Casey, M. Evoked Responses to Note Onsets and Phrase Boundaries in Mozart's K448, Scientific Reports, accepted. TBP June, 2022.
May, L., Halpern, A., Paulsen, S., and Casey, M. Imagined Scale Relationships Decoded from Auditory Cortex. Journal of Cognitive Neuroscience. [Accepted] TBP, 2022
I am currently working on projects in Music and Medicine, Creative AI, and the Cognitive Neuroscience of Music and Imagination.