Postdoctoral Research Fellow @ National University of Singapore
Department of Computer Science
Triple Ph.D. - University of Colorado, Boulder
Neuroscience | Cognitive Science | Creative Technology & Design
I am a passionate music educator and multi-disciplinary researcher at the intersection of AI, HCI, XR, Neuroscience, Psychology, and Music. Specializing in design of complex collaborative systems, analyzing human dynamics, and brain-computer interfaces in musical contexts.
Triple Ph.D.
Creative Technology and Design, Neuroscience, and Cognitive Science
M.S.
Human-Computer Interaction
B.S.
Physiology / Music
I've been professionally teaching music since 2010 and performing all of my life. I've taught thousands of students from ages 3 to 96 at various institutions across the country, including public schools, music schools, and private lessons. Now I focus on making music experiences more enjoyable and inclusive through technology. I employ methods I've learned throughout my career as a researcher in psychology, HCI, neuroscience, and computer science to design and build experiences for real-time musical improvisation. I specialize in Artificial Intelligence, Neuroscience, Hardware & Software Design, Networked Music, and Performance.
CV
I bring over a decade of teaching experience, science-based approaches, and knowledge from a lifetime in music
Scientific and Technical Research/Creative Performance
Using psychological methods and eye-tracking I investigate the effectiveness of several popular approaches to music literacy.
Designing AI-driven music interaction for networked XR environments
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Controlling AI-driven virtual musicians using neural signals
Stringesthesia: Dynamically Shifting Musical Agency Between Audience and Performer Based on Trust in an Interactive and Improvised Performance
Stringesthesia.pdf
Investigating neural network architecture for musical interaction
Doctoral Consortium in New Interfaces for Musical Expression
Exploring the limitations of AR experiences and how they affect music collaboration
Investigating the interaction between visual and audio perceptual delays in networked music
How_Late_is_Too_Late.pdf
Jamming with audience-controlled AI-driven drummers
Exploring jamming with AI-driven hologram drummers
Algorithmically detecting collaboration in a collaborative musical instrument
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Modular reconfigurable guitar for a play and performance
Amplifying the sound of any string through braided conductive thread
Investigating the interactions of expert and novice musicians with tangible musical objects
Authored book chapter on the future of user interfaces in smart cities
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Designed and built applications for the gTar Smart Guitar
Designed and led jamming workshops using technology for over 50 high school students
Investigating the effectiveness of machine learning algorithms in uncovering morphological grammar rules as compared to linguists
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Investigating the role of transcription factor Foxp3 in mice
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Investigating the role of transcription factor Foxd1 in mice
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Teaching and Research Statements