Biography
Dr. John W. Farrell III is a faculty member in the Department of Health and Human Performance at Texas State University and an applied sport scientist specializing in exercise physiology, sport performance, and athlete monitoring. He earned his Ph.D. in Exercise Physiology from the University of Oklahoma and holds the Certified Performance and Sport Scientist (CPSS) and Certified Strength and Conditioning Specialist (CSCS) credentials through the National Strength and Conditioning Association.
Dr. Farrell's work bridges scientific research and practical application, with an emphasis on integrating emerging technologies, physiological assessments, and advanced analytics to better understand athletic performance and readiness. Through the Sport Training and Athlete Readiness (STAR) Laboratory, he collaborates with Texas State Athletics and interdisciplinary research partners to investigate athlete performance, neuromuscular function, training demands, and recovery. His research emphasizes the development of evidence-based approaches that translate complex physiological and performance data into meaningful information for coaches, practitioners, and athletes.
Dr. Farrell's work bridges scientific research and practical application, with an emphasis on integrating emerging technologies, physiological assessments, and advanced analytics to better understand athletic performance and readiness. Through the Sport Training and Athlete Readiness (STAR) Laboratory, he collaborates with Texas State Athletics and interdisciplinary research partners to investigate athlete performance, neuromuscular function, training demands, and recovery. His research emphasizes the development of evidence-based approaches that translate complex physiological and performance data into meaningful information for coaches, practitioners, and athletes.
Research Interests
Dr. Farrell's expertise encompasses applied sport science, exercise physiology, athlete monitoring, and performance analytics. His research focuses on the integration of neuromuscular assessments, wearable sensor technologies, physiological monitoring, and advanced statistical approaches to evaluate athletic performance, training adaptations, fatigue, and recovery. He has particular interests in force-time analysis, external workload monitoring, multivariate statistics, machine learning, and the development of athlete monitoring frameworks that support evidence-informed decision-making. His work spans multiple collegiate sports and emphasizes translating complex, multidimensional performance data into practical applications for athlete development, training optimization, and performance management.