Biomedical Computation · Sensorimotor Control · AI/Computer Vision
Connor Chin
Stanford University, Class of 2029
Engineering (BS) — Biomedical Computation
Music Minor
I'm a Stanford freshman studying Biomedical Computation (Engineering BS) with a Music minor. I build computational tools to understand how the human body produces complex, skilled movement — specifically, how muscles, sensory feedback, and neural control work together during fine motor tasks.
My independent research uses AI pose recognition and OpenSim biomechanical models to study muscle activation patterns in violin vibrato. The pipeline I built — smartphone video → pose estimation → 3D joint motion extraction → musculoskeletal simulation → muscle kinematics and muscle dynamics — connects what we see externally to the underlying forces that drive fine motor control. I've presented this work at the Honors Research Symposium at UC Berkeley (2025; Honorable Mentions for both symposium awards) and the ICTMD2025 World Conference.
This research opens questions I'm actively pursuing: How does the brain coordinate dozens of muscles to produce precisely timed oscillatory motion? How does haptic feedback from an instrument shape motor learning in real time? And can computational methods — from biomechanical modeling to deep learning — reveal biological mechanisms invisible to observation?
Alongside my research, I maintain an active performance profile as a violinist and violist: Music@Menlo full fellow (1 of 29 from 1,000+ applicants), San Francisco Symphony Youth Orchestra former 1st violinist, and I am playing viola with the Stanford Chamber Chorale this Winter/Spring 2026. Thousands of hours of fine motor training give me an embodied perspective on the sensorimotor questions I study computationally.
Technical: Python, C++ (OOP, data structures), OpenSim, computer vision, signal processing, data analysis
Math: Linear algebra, multivariate calculus, ODEs, mathematical modeling
Languages: English (native), Mandarin Chinese (fluent), French (elementary)
Computational biomechanics · Signal processing · Biomedical AI
I developed an AI-based computational pipeline to study the biomechanics of skilled musical performance. The system uses smartphone video recordings as input, applies AI pose recognition to extract 3D finger joint motion, then drives OpenSim musculoskeletal models to compute muscle force and activation patterns during violin vibrato performance.
This provides insight into the motion and timing of underlying muscle control that is invisible to observation, enabling data-driven improvement of performance technique.
Presentations & Awards:
📄 Read the Paper 🎬 Watch the PresentationAnalyzed violin timbre and resonance using Constant-Q Transform (CQT) frequency-domain analysis to extract meaningful patterns from complex, high-dimensional audio data. The system characterizes articulation, timbre, and resonance of violin bowstrokes to enable data-driven technique improvement.
⚓ Office of Naval Research Award (Synopsys 2023) ⚡ IEEE Electro-Technology Award (Synopsys 2023)Developed Python-based wavelet scaleogram visualizations to analyze breathing audio recordings for pneumonia detection — an early project demonstrating the use of computational methods for biomedical applications.
🏆 3M Young Scientists Challenge: California State Merit WinnerConference paper presented at the Symposium on Innovative Teaching of New Media Art and Multimedia Music Education (新媒體藝術與多媒體音樂教育創新教學), Taipei National University of the Arts, Taiwan.
Violinist · Violist · Chamber Musician
I'm both a violinist and violist. I've studied violin and viola under David Salness since age 10, and have had the privilege of working with Chi-Yuan Chen (principal violist, San Diego Symphony) and coaches from the San Francisco Symphony.
Current:
Stanford Chamber Chorale — Fauré Requiem (Winter/Spring 2026)
Violist, personally invited by Stanford's Artist-in-Residence. Live concert performance and recordings.
Recent highlights:
Music@Menlo Chamber Music Institute (Summer 2024)
Violist, Young Performers Program — Full Fellowship.
1 of 29 selected from over 1,000 applicants. Performed with Himari for 3 concerts.
Masterclasses with Matthew Lipman, Gilbert Kalish, and Sihao He; lessons with Paul Neubauer.
Coached by Viano Quartet, Benjamin Beilman, Chad Hoopes, Chelsea Wang, Dmitri Atapine.
Watch performances on YouTube →
San Francisco Symphony Youth Orchestra (2024–2025)
1st Violin. The Bay Area's premier youth orchestra (17% acceptance rate).
Rehearsed and performed in Davies Symphony Hall. Full sponsorship supported by Bank of America.
Young Chamber Musicians (2024–2025)
Violist, Zapdós String Quartet.
Invited to perform Webern at Stanford's Bing Concert Hall during the Verbier Festival Chamber Orchestra residency (April 2025).
Masterclass with Gábor Takács-Nagy of the Takács Quartet. Merit Scholarship.
California Youth Symphony (2020–2025)
1st Violin, Senior Orchestra. Young Artist Competition Finalist, 2024. Toured in Spain (2024) and Central Europe (2022).
Leadership · Podcast · Community
Sound-POLITICS.com (2024–present)
Video podcast producer, host & interviewer. Explores music's role in communicating ideas, building
shared community, and motivating political action.
Palo Alto Youth Council (2022–2024)
Youth liaison to Palo Alto City Council.
FASCA — Formosa Association of Student Cultural Ambassadors (2023–2025)
Vice President (2023–2024), San Francisco chapter.
Stanford University · Concurrent & Dual Enrollment
Stanford University — Engineering (BS), Biomedical Computation; Music minor (Class of 2029)
Selected coursework: Organic Chemistry (CHEM 33), Linear Algebra & Multivariable Calculus (MATH 51),
Genetics-First Psychiatry (PSYC 37N), Writing & Rhetoric: The Rhetoric of Disability (PWR 1LF)
College coursework completed during high school (GPA: 4.0)
Mathematics: Ordinary Differential Equations (San José State), Linear Algebra, Multivariate Calculus (West Valley College)
Computer Science: Data Structures — Advanced C++, Python, OOP & Software Design in C++ (West Valley, De Anza, Foothill)
Sciences: General Chemistry (De Anza) · Languages: Elementary French, 3 quarters (Foothill)
Awards: National Merit Scholarship Finalist · AP Scholar with Distinction (2023, 2024, 2025)