Daniel Alexander van Skye, DBA, is a leading authority in female physioperformance and physiometric data science. He is the founding principal of W10NIS SCIENCE, a precision physiometric datalytics and datamodeling firm dedicated to the elite physiological demands of professional women’s tennis.

His work centers on physiologically timed decision systems that translate HRV dynamics, hormonal phase patterns, and recovery slope behavior into individualized strategies for training, tapering, and competition.

Daniel works exclusively with WTA athletes and their coaching teams through W10NIS SCIENCE, where he delivers adaptive performance models aligned with the demands of the professional tour. Through Dubai Tennis Science, he extends these same methodologies to junior athletes, supporting both girls and boys in their developmental years.

He holds certifications in Neurobiology, Sports Performance Psychology, and Workload Management from FC Barcelona Universitas. His professional background includes over two decades of experience in high-performance systems, with operational service as a Special Operations Forces soldier and as a human performance strategist for military intelligence and tactical units. His methodology integrates autonomic profiling, endocrine rhythm modeling, and adaptive workload calibration.

At W10NIS SCIENCE, Daniel personally designs and delivers every engagement. Each system is built from the athlete’s real-time physiometric data and developed through individualized modeling of recovery dynamics, endocrine phase transitions, training load response, and fatigue accumulation. All services are grounded in physiological science and integrated directly into the decision flow of the coaching team.

Through Dubai Tennis Science, Daniel brings this same professional methodology to junior athletes. By translating complex internal signals into clear, biologically intelligent strategies, he helps young players train with precision, recover effectively, and build systems for sustainable high performance.