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Effects of audio and visual audience participation modalities on agency, collaboration, and engagement in AI-mediated mixed reality performances.
Publication and Scientific Works
Scientific, technical, and creative research spanning AI, extended reality, neuroscience, and music. Filter by theme, and open any project for the full story: motivation, methods, findings, media, and papers.
Effects of audio and visual audience participation modalities on agency, collaboration, and engagement in AI-mediated mixed reality performances.
How visual features shape the symbol-perception-action loop in musical notation.
Co-designing technologies with multiple stakeholders for stroke rehabilitation.
A unified framework and neural network architecture that enables automatic multitrack music arrangement.
Using psychological methods and eye-tracking to investigate the effectiveness of several popular approaches to music literacy.
Designing AI-driven music interaction for networked VR/AR/MR environments.
Dynamically shifting musical agency between audience and performer based on the performer’s neurally measured trust in an improvised performance.
AI-driven, animated virtual musicians for human-in-the-loop musical improvisation.
Investigating neural network architectures for musical interaction, with Ericsson Research.
Doctoral research framework presented at the NIME Doctoral Consortium.
Exploring how the limitations of AR displays affect musical collaboration with holographic musicians.
Networked musical interaction and real-time collaboration between remote drummers in augmented reality.
Investigating the interaction between visual and audio perceptual delays in networked music.
Jamming with audience-controlled, improvising AI-driven drummers.
Algorithmically detecting collaboration in a collaborative musical instrument.
Investigating alternative, color-based music notation and tools for novice improvisation.
Plugins that manipulate notation software to aid reading and pedagogical techniques in music.
Music combinatorics: isolating the number of unique scale rotations, building on Miller’s and others’ work.
Custom Ableton functions connected to Python and other programs, used in teaching and performance.
Investigating the interactions of expert and novice musicians with tangible musical objects.
Book chapter on the future of user interfaces in smart cities.
Designed and built applications for the gTar smart guitar.
Designed and led technology-enhanced jamming workshops for over 50 high school students.
Comparing machine learning algorithms with trained linguists at uncovering morphological grammar rules.
Investigating the role of the transcription factor Foxp3 in mice.
Investigating the role of the transcription factor Foxd1 in mice.
fMRI study investigating mechanisms of motor control and learning (data analyst).
Investigating the role of rehearsal in perceptual and visual span (data analyst).
Investigating the role of the hippocampus in sensorimotor control (data analyst).