Research profile

I study how artificial intelligence changes the production and governance of scientific knowledge. My current program connects the institutional economics of science, AI-native research architectures, independent verification, and living knowledge infrastructure.

The long-term question is broad, but the immediate strategy is deliberately small: state assumptions explicitly, build testable protocols, compare human and AI performance under controlled conditions, and let empirical results determine whether larger systems should be built.

Current focus

My current empirical work asks whether structured review protocols can improve consequential-error detection in management research. This is intended as an early, falsifiable test of the verification architecture proposed in my conceptual preprints.