Curiosity, with
a method.

My strength lies in bringing mathematics, physics, data science, finance, politics, geopolitics, and philosophy into a coherent framework for understanding and solving problems. I reason from first principles, question assumptions, examine evidence, and weigh competing explanations before drawing conclusions. I am particularly drawn to the behaviour of complex systems, including financial markets, computational infrastructure, and political institutions, and to the ways their structures and incentives shape individual and collective outcomes.

I approach my work as both a researcher and a builder, seeking to translate abstract understanding into practical tools, reliable systems, and informed decisions. Whether developing quantitative models, designing software, or exploring financial and social infrastructure, I begin by examining the mechanisms that produce an outcome and the constraints that govern it. I believe meaningful improvement requires both intellectual depth and the discipline to turn ideas into something useful.

I apply the same rigour to my personal development. A structured scorecard helps me measure progress, recognise weaknesses, and refine my methods. My ambition is to deepen my expertise while strengthening the connections between disciplines, measuring achievement through the clarity of my reasoning, the reliability of my work, and the value it creates for others.