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My research focuses on sport analytics, emphasizing social media marketing measurement, consumer behavior, and performance evaluation. Using advanced methods such as machine learning and text mining, I analyze participation trends, digital fan interest, and athletic outcomes. I teach courses in sport analytics, sport management, and technology in sport across face-to-face, hybrid, and online formats. Before joining SUNY Fredonia, I gained academic and industry experience in the United States and South Korea, including projects with sport teams, research institutes, and Nike.

Office Hours

• Monday, Wednesday, Friday: 12:00–3:00 p.m.

Professional Membership

• North American Society for Sport Management (NASSM)
• Society of Health and Physical Educators (SHAPE America)
• Korea Society for Measurement and Evaluation in Sports Science

Intellectual Contributions

• "Age‐Varying Patterns of Total Cholesterol by Modifiable Lifestyle Factors Across Mid to Late Adulthood: Applying Time‐Varying Effect Modeling," American Journal of Human Biology (2025).
• "Sport Media Consumption in NCAA Division I FBS Subdivision: A Panel Regression Model Using X/Twitter," Journal of Issues in Intercollegiate Athletics (2025).
• "Machine Learning Modeling for Predicting Adherence to Physical Activity Guideline," Scientific Reports (2025).
• "Model Development for an Artificial Intelligence-Based NCAA Football Ranking System: Applying the PageRank Algorithm," Measurement in Physical Education and Exercise Science (2025).
• "The Evolution of Terminology: A Scoping Review of Terms and Concepts Used to Research Sport in the Digital Realm," Quest (2024).
• "A Data-Driven Approach to Predicting Recreational Activity Participation Using Machine Learning," Research Quarterly for Exercise and Sport (2024).
• "Validating Athletes’ Subjective Performance Scale: A Rasch Model Analysis," International Journal of Applied Sports Science (2023).
• "Association Between Team Identification and Sport Consumption Behaviors: A Meta-Analysis," Journal of Global Sport Management (2023).
• "Trend Analysis of Physical Activity Measurement Research Using Text Mining in Big Data Analytics," International Journal of Physical Activity and Health (2022).

Presentations

• "Application of text mining in sport and health," SHAPE America National Conference, Baltimore, MD (2025).
• "Tracking momentum: Analyzing performance streaks in English Premier League using a time-varying effect model," Applied Sport Management Association, Cincinnati, OH (2025).
• "Serial-multiple mediation of psychological experience and physical activity on the relationship between sport media consumption and overall well-being," North American Society for Sport Management, Minneapolis, MN (2024).
• "Machine learning modeling for predicting adherence to physical activity guidelines," American College of Sports Medicine, Boston, MA (2024).
• "Sport media consumption in NCAA Division I FBS: A panel regression model using Twitter," College Sport Research Institute, Columbia, SC (2024).
• "Secular trend of physical activity patterns: Exploring transportation, work, and recreational activities in NHANES from 2009 to 2018," SHAPE America National Conference, Cleveland, OH (2024).
• "Tee times, weather, and performance: ROC analysis of PGA tour players," Applied Sport Management Association, Knoxville, TN (2024).
• "Predicting recreational activity participation using machine learning algorithms," SHAPE America National Conference, Seattle, WA (2023).
• "The natural experiment on the spectator effect of game performance," North American Society for Sport Management, Atlanta, GA (2022).
• "Age-varying association between physical activity and health-related quality of life among U.S. adults," American College of Sports Medicine, San Diego, CA (2022).
• "Trend analysis of scholarly research in RQES using topic modeling," SHAPE America National Conference, New Orleans, LA (2022).