Operator first. Researcher always.

I spent two decades inside operating teams before I started calling what I do research. That order matters. It means every question I ask started as a problem someone had to solve on a Monday — not a hypothesis from a literature review.

My doctoral work focuses on the human and organizational conditions that determine whether AI adoption produces durable value or quietly accumulates risk. I'm interested in awareness as the binding constraint, in the operators closest to the workflow as the highest-signal source, and in the frameworks that survive contact with reality.

I work with leadership teams that want to be honest about what they don't yet understand — and act on it before the system is installed, not after.