I am a researcher and data analyst working on movement analytics, wearable data validation, and the data and economic interpretation of human activity.

My work focuses on how everyday movement, captured through wearable technologies, can be measured with rigor, validated transparently, and interpreted in ways that remain analytically sound while preserving human context. Rather than treating activity data as raw optimisation input, I approach it as evidence that requires explanation, structure, and restraint.

Developed in Australia and positioned for formal doctoral supervision, my research combines longitudinal datasets, explainable validation rules, and ethical design principles. Through analytical labs and empirical observation, I explore how human activity can be made legible without distortion, overreach, or exploitation.

This site documents my current research direction, analytical environments, and empirical work, including walking datasets that form the foundation of my movement research.