RGHTEOUS GAMBT

My research interests are in trustworthy AI, 3D vision, and measurement.

I work on governance and assurance for AI systems, 3D reconstruction and SLAM, and how depth and geometry from vision pipelines behave when they need to qualify as measurements—not only leaderboard benchmarks. I spell out that direction in Your Depth Map Is Not a Measurement.

My roles and responsibilities span industry, academia, and publishing.

I serve as CTO of Polaris EcoSystems; Associate Director of the Center for Internal Auditing and Cybersecurity Risk Management at LSU; and coauthor of Practical AI for Professionals: Understanding, Using, and Surviving AI (Chapman & Hall / CRC Press, 2026).

I'm based in Baton Rouge and Austin—and often on the road.

I split my time between Louisiana and Texas when I'm not traveling for client work, research, or speaking.

I describe my work as applied research at a three-way intersection.

I'm an applied researcher and technology leader working where computer vision, internal auditing, and cybersecurity risk meet—translating methods into decisions people can defend.

I write and build for professionals who aren't trying to become ML engineers.

My focus is practical assurance: how to evaluate and deploy AI without treating abstract model scores as a substitute for accountability.