Much of my work addresses moments where existing models reach their explanatory limits, when capacity appears full, yet performance and decision-making remain unreliable under real-world and often hostile, unpredictable conditions..

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This work sits responsibly upstream of standards: in the exploratory space where integration, measurement, and biological reality must be clarified before formal frameworks can evolve.

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My inquiries focus on moments where established models reach their explanatory limits.

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While many of these observations first emerged in high-performance sport, they reflect a broader pattern: moments where standard models no longer explain outcomes when capacity appears restored, yet performance and decision-making remain unreliable under real-world conditions.

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Current lines of inquiry increasingly explore the neurobiological foundations of readiness, regulation, and decision-making under constraint, with relevance to sport, medicine, military operations, and other environments where error carries consequence.