Jeremy Hsiao

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  5. Jeremy Hsiao

Capstone Recipient

Capstone: “The Evolution of EEG-Based Music Research: Methodological Transitions and Neurophysiological Insights from the 1970’s to the Present”

Communications

Stanford University

Portfolio

Jeremy Hsiao (he/him) is an artist and researcher working at the intersection of sound, cognition, and computational media. His research investigates how we perceive and structure sound, ranging from EEG-based attention decoding to audio onset detection and denoising systems. His Stanford Communication capstone, The Evolution of EEG-Based Music Research, combined meta-analysis with full-stack development to create an interactive visualization of 50+ years of brain-music experiments, highlighting methodological shifts in how music cognition has been studied through signal processing. As an artist, Jeremy creates audio-visual installations, interactive systems, and computer-generated music. After graduation, he is working at TU Berlin in collaboration with the Sound Innovation Lab, building machine learning models for classifying functional audio events and exploring perceptual modeling pipelines for sound design.

Publications

5122592 Jeremy Hsiao 1 apa 10 date desc Hsiao, J 5504 https://thechangelab.stanford.edu/wp-content/plugins/zotpress/
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Hsiao, J. (2025, June 10). EEG Music Studies Database Visualizer. https://eeg-music-studies-visualization.vercel.app/
Hsiao, J. (2025). The Evolution of EEG-Based Music Research: Methodological Transitions and Neurophysiological Insights from the 1970’s to the Present [Capstone, Stanford University]. https://thechangelab.stanford.edu/wp-content/uploads/2025/06/Charles_Shi_Final_Honors.pdf