
Yet organisations must make decisions anyway.
Whether evaluating startups, managing pension liabilities, forecasting admissions demand, or studying climate tipping points, my work focuses on developing frameworks that improve decision-making when information is incomplete and uncertainty is unavoidable.

Pension systems represent one of society's largest exercises in long-term forecasting.
Working within actuarial consulting exposed me to challenges involving uncertainty over decades rather than months.
Investment performance, mortality assumptions, liability projections, and regulatory requirements all interact within highly complex financial systems.
The experience strengthened my interest in risk, uncertainty, and quantitative decision-making.

Investment is ultimately a decision-making problem.
My work focused on developing tools that improve information quality, reduce noise, and allow investment teams to allocate attention more effectively.