I work at the intersection of data, movement, and interpretation.

My background combines formal training in business computing, information technology, and international business with long experience across financial systems, enterprise analytics, and research-driven data design. Over time, my work shifted from institutional analytics toward research frameworks that examine how data is produced, validated, and interpreted.

This shift reflects a broader interest in analytical systems that remain accountable to human reality rather than abstract optimisation.

Background

I began my career in financial and institutional environments where precision, traceability, and accountability were essential. Early work in banking and enterprise systems established a strong foundation in forecasting, regression analysis, and time-series modelling, alongside exposure to large-scale operational data.

Over subsequent years, I worked across analytics consulting, cybersecurity, and data strategy roles, contributing to complex projects for large organisations and critical infrastructure environments. These roles strengthened my ability to translate technical data into decision-ready insight while navigating regulatory, ethical, and organisational constraints.

Gradually, my focus moved away from purely institutional outputs toward research-oriented data systems. This transition led to the creation of dedicated data labs and, ultimately, to Wearonomics as a focused research framework.

Athletic Practice

Endurance sport has significantly shaped how I understand data and discipline.

Years of long-distance training and multiple Ironman events instilled a familiarity with repetition, longitudinal measurement, and the limits of optimisation. Training outcomes only make sense when interpreted within broader physical and environmental context.

This perspective informs my research approach. Movement data is never abstract. It is embodied, variable, and influenced by attention, fatigue, and surroundings. Walking later emerged as a slower, observational counterpart to performance data, offering a different lens through which to study movement patterns.

Current Direction

I am based in Australia and focused on securing paid research roles and formal doctoral supervision aligned with movement analytics, wearable data, and applied data systems.

I am interested in collaboration with universities, public institutions, and research-oriented organisations where analytical depth, methodological clarity, and social relevance are valued.