About

Research

I am interested in how muscles coordinate to produce human movement. Beyond describing movement itself, I aim to study how motor commands from the central nervous system regulate muscle activity.

Using multi-channel electromyography (EMG) and NMF-based muscle synergy analysis, I examine how muscle coordination and postural control adapt during repetitive tasks and in response to unexpected perturbations.

Directions I want to take further:

• Measuring what surface EMG cannot reach — deep and trunk muscles, and activity closer to the motor-unit level
• Synthetic EMG and neuromusculoskeletal digital twins linking neural drive, motor units, and muscle force
• Subject-specific models that prescribe, not just describe, what an individual should change
• Muscle coordination with anticipatory postural responses

Skills / Methods

• EMG, motion capture, and force-plate data collection and analysis (16-channel wireless EMG (Delsys), 14-camera Motive, 4 force plates)
• NMF muscle-synergy analysis
• Deep learning (CNN) for movement and EMG data classification in Python
• Python and R for data analysis, processing pipelines, and automation

Education

• Cheongju University, Dept. of Sports Rehabilitation, M.S. in Sports Medicine, 2025–2027 (expected)
  • Advisor: Prof. Yushin Kim
  • GPA: 4.00/4.00
• Hanyang University ERICA, Sports Coaching Major, 2019–2025 (including two years of mandatory military service)
  • GPA: 3.62/4.00

Research Activities

Master’s (2025-2027)

• Conducted biomechanics experiments with 33 young adults and 40 community-dwelling older adults in Cheongju; for the older-adult cohort, recruited participants, delivered an individualized fall-risk assessment report to each participant, and taught tailored fall-prevention exercise programs based on the results
  • Built an automated fall-risk assessment & reporting system that grades fall risk from experimental data (TUG, gait, one-leg-standing, questionnaires) and auto-generates each participant’s PDF report
  • Compared stepping vs. non-stepping responses to identical unexpected perturbations within subjects; under review*
  • Analyzing age-related differences in perturbation responses in unconstrained environments (ongoing)
• PI, NRF Master’s Student Research Grant (2026–2027): predicting fall risk in older adults with muscle synergy and CNN*
• Analyzed muscle coordination structures in the gait of patients with brain lesions using muscle synergy analysis, applying k-means clustering to compare synergies between groups
• Studied the effect of biomechanically improved manual-handling equipment on users’ muscle activation*

Undergraduate (2019-2025)

• Studied motor-skill learning in the clean & jerk weightlifting movement*
• Studied how warm-up affects golf-swing performance

Other Activities

• Fall-prevention exercise curriculum co-author & instructor for older adults, 2025
  • Co-authored the fall-prevention exercise teaching materials, used in both the specialist instructor training course and the older-adult education program, and taught as an instructor
  • Participated in the 2025 Fall Prevention Specialist Instructor Training Course (BASIC), organized by the Korea Disease Control and Prevention Agency and the National Injury Management Center (operated by Korea University)
  • Demonstrated and instructed fall-prevention exercises such as balance assessment and lower-limb strengthening as part of the practicum in Cheongju University’s Dept. of Sports Rehabilitation, and conducted prevention education for actual older adults (related news)

  Featured in the co-authored teaching materials.

Hobbies

• Artistic gymnastics
• Strength & functional training
• Workflow automation with Python