Kamarin Lee

I build data and AI systems that help people make decisions from complex information. My research asks what verification and provenance should support a number in financial systems before a person or machine treats it as true.

I study how a financial record was produced, which assumptions changed it, and who made the judgment behind it. The aim is to help investors separate a checked process from a trustworthy result.

Financial records are often incomplete, definitions vary, and judgment fills the gaps. I want to know what stronger evidence changes before capital is committed.

That question matters when people compare risk, price an uncertain asset, or decide where capital should go. Stronger evidence makes the basis for each judgment visible.