Claire Arthur

Claire Arthur is an Assistant Professor in the School of Music and Adjunct Professor in the School of Psychology at the Georgia Institute of Technology. She leads the Computational and Cognitive Musicology Lab (CCML), co-led with Dr. Nat Condit-Schultz, focusing on computational modeling of music and cognitive processes. Her work bridges music theory, neuroscience, and technology, with software contributions like humdrumR.

Education: PhD in Music Theory and Cognition from Ohio State University (under David Huron), MA in Music Theory from the University of British Columbia, and Bachelor’s degree from the University of Toronto.

Research interests include music perception, computational musicology, and music information retrieval. Her studies explore how musical features influence memory, emotion, and reward systems. Recent work involves corpus analysis of film music (e.g., Star Wars themes) and experimental studies on earworms and harmonic expectancy.

Publications span journals like Music Perception and Music & Science, with conference contributions at ISMIR. Her interdisciplinary approach combines human-subject experiments with computational tools to address questions in music cognition and AI-generated music.

No scientific awards listed. Active in labs and software development, with no explicit mentions of grants or advising roles. Collaborates widely on projects like the SWTC corpus and humdrumR.