Reasoning you can trace, verify, and build on.

Researcher & Epistemic Engineer

My work sits at the intersection of epistemology, AI safety, and knowledge engineering. The adversarial instinct came first, in years spent pressure-testing accounts, separating what's evidenced from what's assumed. The epistemology came later. The two turned out to be the same discipline.

I design systems that make high-quality reasoning transparent, verifiable, and reusable, and that hold their nerve about uncertainty. I want a philosopher, an AI researcher, and a curious outsider to all feel equally at home here.

“Where a claim carries its evidence.”

Reasoning is a form of infrastructure. Built well, it compounds across people, across time, instead of being derived from scratch in every debate.

AI, applied with epistemic rigor, can make high-quality reasoning accessible and reusable, rather than flattening nuance into confident-sounding summaries.

A deep respect for the limits of both human and machine reasoning, and for systems that name their uncertainty instead of hiding it.