Proofs, claims, and oversight
A research program on the gap between machine-verifiable artifacts and the claims people attach to them.
Read the research caseSelected research and operating work: the problem as it first appeared, what I found inside it, what I did, and what the evidence supports.
Experiments and control systems for keeping generated artifacts, claims, and authorized actions within what was actually checked.
A research program on the gap between machine-verifiable artifacts and the claims people attach to them.
Read the research caseProduct, market, and operating work that turns a broad mandate or technical capability into something people can use and run.
Translated data science and automated underwriting into products, customer commitments, and operating structures.
Read the caseTurned a broad “Fidelity of Crypto” mandate into trade-operations infrastructure, then helped shape crypto and NFT launch-infrastructure and market work.
Read the caseConverted evidence into product and ecommerce systems and tested assumptions across a wider manufacturing and distribution system.
Read the caseStructured and executed large-scale PPE opportunities during COVID.
Read the caseScaled an operating business from early revenue to large transaction volume.
Read the caseContributor and participant in startup, angel, venture, and founder networks across multiple cycles.
Read the caseWork on the representations, constraints, and decision paths through which institutions act.
No evidence-bounded public case is filed in this section yet.