I am a researcher and data analyst focusing on movement analytics, wearable data validation, and the analytical interpretation of human activity. My work investigates how everyday movement captured by wearable technologies can be measured rigorously and interpreted through transparent, explainable validation frameworks.

Rather than treating activity data as raw optimization input, I approach movement datasets as empirical evidence that requires careful structure, methodological clarity, and contextual interpretation.

Developed in Australia and positioned for formal doctoral supervision, my research combines longitudinal wearable datasets, rule-based validation systems, and ethical data design. This site documents my analytical labs, research direction, and empirical datasets that support my work on movement analysis and wearable data integrity.