Governing the AI you can’t fully supervise.
I lead AI governance, security, and risk for organizations in technology, healthcare, and other environments where being wrong is expensive — so people can use powerful systems properly, at speed. The mandate runs end to end: executive intent to a delivered, defensible system.
Fifteen-plus years of continuous security practice — from embassy systems and cryptologic collection to the security and governance of AI itself.
Security, authority, and delivery held at the same standard.
15+ years
Continuous security and risk practice — carried at director and senior level while building and scaling AI & data practices across defense, federal, and regulated enterprise.
Embassy → SIGINT → C‑suite
One security discipline held at every altitude — tactical collection, estimative rigor, and the translation layer between engineering reality and executive intent.
Ph.D. in progress
Doctoral research at Virginia Tech on the organizational capability behind meaningful oversight of autonomous systems.
Selected Thinking
Operating-model essays & research directionMost AI governance is theater.
Effective oversight works like a clearance system — a port authority with zero ambiguity about criteria or authority, not a rubber stamp and not an indefinite hold.
Read the essay →The Hollow Bench.
Automate away the entry-level cognitive work and you stop building senior judgment. The bill — talent debt — comes due later, and quietly.
Read the essay →Human approval isn’t oversight.
“A person clicked approve” doesn’t survive an audit. The work: what an organization must be able to produce before a system earns authority to act.
Explore the research →