Daniel Rojas‐Valverde

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About

Daniel Rojas‐Valverde is a leading researcher at the intersection of sports science, data analytics, and human physiology. His work is defined by a pioneering focus on integrating big data and artificial intelligence into sports performance and injury prevention, alongside deep investigations into neuromuscular fatigue and thermoregulation. His most-cited contributions include seminal studies on the use of machine learning for load monitoring in athletes and the physiological demands of team sports, which have collectively garnered hundreds of citations. Notably, his recent work, "Big Data and Artificial Intelligence in Sports Analytics" (2025), signals a forward-looking shift toward real-time, data-driven decision-making in athletic training. Rojas‐Valverde’s research has been instrumental in advancing how coaches and clinicians interpret complex biometric data to reduce injury risk and optimize recovery. He is also recognized for his work on environmental physiology, particularly the effects of heat and altitude on performance. Through his prolific output and interdisciplinary approach, Rojas‐Valverde has become a key voice in the modernization of sports science, bridging the gap between raw physiological data and actionable, AI-enhanced insights.