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CONNOR CHIN
Stanford Engineering '29  ·  Biomedical Computation  ·  Music Minor

ABOUT

Biomedical Computation · Sensorimotor Control · AI/Computer Vision

Connor Chin

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)

RESEARCH

RESEARCH

Computational biomechanics · Signal processing · Biomedical AI


Biomechanical Motion Analysis with Computer Vision (2023–Present)

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.

Analysis pipeline
Smartphone Video AI Pose Estimation 3D Joint motion OpenSim Musculoskeletal Simulation Muscle Force & Activation Patterns

This provides insight into the motion and timing of underlying muscle control that is invisible to observation, enabling data-driven improvement of performance technique.

Vibrato video with AI pose recognition overlay
Vibrato pose alignment comparison

Presentations & Awards:

📄 Read the Paper 🎬 Watch the Presentation
🏆 Honors Research Symposium, UC Berkeley (May 2025) — Honorable Mentions for both Heslet Scholar & Katharine Awards 🌏 ICTMD2025: 48th World Conference (Jan 2025, New Zealand) California Science & Engineering Fair (2025); Santa Cruz STEAM Expo (2025): 1st place ⚡ Synopsys Science Fair (2024): Honorable Mention; IEEE Electro-Technology Award

Signal Processing for Musical Instrument Analysis (2023)

Analyzed 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)

View the full poster (PDF) →

Computer-Assisted Pneumonia Diagnosis (2021)

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 Winner

Watch the video →

Web Audio API Curriculum for Teens (2022)

Conference 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.

MUSIC

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).

Music@Menlo
San Francisco Symphony Youth Orchestra
Young Chamber Musicians
California Youth Symphony
San Francisco Conservatory of Music

OTHER ACTIVITIES

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.


EDUCATION

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)

Stanford University
San José State University
West Valley College
De Anza College
Foothill College

CONTACT

CONTACT

Stanford University, Stanford, CA
LinkedIn
cchin29 (at) stanford.edu
connor.c.chin (at) gmail.com