Kamarin Lee

I build data and AI systems, and I am now developing an independent research program on verification and provenance in financial systems: what evidence should sit behind a number before a person or machine is allowed to treat it as true.

My work focuses on measurement and the boundary between evidence and judgment. I am particularly interested in which claims survive scrutiny, where responsibility resides, and how decisions change when the cost of uncertainty becomes visible.

The larger question extends across financial markets: how evidence changes the evaluation of risk, the allocation of capital, and the decisions people make under uncertainty.

This research draws on signal detection, cybernetics, bounded rationality, and data provenance. It grows from more than a decade building data and AI systems.