Team

I am a scholar, teacher, and musician working in the fields of music theory, music technology, and cognitive science. My research interests include building digital musicology research tools and software; analysis and modeling of symbolic music data; and the perception and cognition of music, with a focus on correlating behavioral/physical responses to musical structures. I am particularly interested in music and memory, strong emotional responses to music, and the automation of symbolic music data collection and annotation.

I am a musician, composer, and scientist, specializing in the statistical modeling of musical structure. I studied music psychology, computational musicology, and scientific methodology with David Huron. I am currently a lecturer at the Georgia Institute of Technology, where I teach classes in recording technology, rock/pop performance, and computational composition.

Hit Song Science | Computational Music Notation | Symbolic Data Curation

Embodiment | Entrainment | Music Cognition in Dancers

Immersive audio | Ludomusicology | Sound Design | Flow | Adaptive music

Spatial audio | Synthesizers | DIY audio electronics | Interactive and Embedded musical systems | Digital reverberation

Commercial Mixing Practices | Perceptual audio quality | Audio Effect Processing & Perception | Music Education | Analog Electronics

Music & Emotion | Computer-Aided Music Composition | Corpus Studies | Symbolic MIR | Instrument Design

Confluence of Music, Language, and the Brain | Music Expression | Indian Classical Music | Music Emotion Recognition

Computational modeling of Rhythm and Rhythm Complexity for Music education

Ludomusicology | Hypnogogic pop | Sound Design | Music Theory | Pedagogy

Perceptual and Statistical Studies of Rap Music

Music similarity | chords detection