
About
Nat Condit-Schultz is a Lecturer and Director of Graduate Programs in the School of Music at Georgia Institute of Technology's College of Design. His research focuses on computational musicology, music cognition, and popular music studies, with expertise in statistical modeling of musical structure. He leads the Computational and Cognitive Musicology Lab (CCMLab) and teaches courses in research methodology, music psychology, and music production.
Education
- BA Music, University of California Santa Cruz (2012)
- MA Music Composition, University of California Santa Cruz (2012)
- PhD Music Theory, Ohio State University (2016)
Research Interests
Nat explores rhythm and tonality in popular music, the role of language and lyrics in music perception, and hip-hop music theory. His work bridges humanities and sciences, with presentations at conferences like Society of Music Theory and International Conference on Music Information Retrieval. He develops tools like the humdrumR R-package for musicological analysis.
Performance and Composition
As a guitarist and composer, Nat specializes in complex rhythms, polyrhythms, and tempo spirals. His compositions blend common-practice, popular, and world music traditions, including works like Shepard (exploring tempo spirals) and Faux-Java Blues (Gamelan-rock fusion). He directs rock/pop bands and collaborates with ensembles like the Morehouse Afro Pop ensemble.
Advising and Labs
Nat advises students in the CCMLab, where recent advisees have presented at national conferences. He co-directs the lab alongside Claire Arthur, contributing to initiatives like the CoCoPops music corpus. His work also includes collaborations with the Center for Music Technology at Georgia Tech.
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