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.
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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.
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Designing AI-driven music interaction for networked XR environments
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Controlling AI-driven virtual musicians using neural signals
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Stringesthesia: Dynamically Shifting Musical Agency Between Audience and Performer Based on Trust in an Interactive and Improvised Performance
Stringesthesia.pdf
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Investigating neural network architecture for musical interaction
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Doctoral Consortium in New Interfaces for Musical Expression
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Exploring the limitations of AR experiences and how they affect music collaboration
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Investigating the interaction between visual and audio perceptual delays in networked music
How_Late_is_Too_Late.pdf
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Jamming with audience-controlled AI-driven drummers
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Exploring jamming with AI-driven hologram drummers
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Algorithmically detecting collaboration in a collaborative musical instrument
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Modular reconfigurable guitar for a play and performance
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Amplifying the sound of any string through braided conductive thread
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Investigating the interactions of expert and novice musicians with tangible musical objects
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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
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Designed and led jamming workshops using technology for over 50 high school students
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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
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