RGHTEOUS GAMBT

That question connects my work as CEO of Holmdel Labs and CTO of Polaris EcoSystems. At Holmdel, I lead early-stage R&D in embedded intelligence, sensing, and measurement. At Polaris, I lead technology across geospatial systems, computer vision, 3D reconstruction, and infrastructure assessment. Both roles converge on the same problem: turning ambiguous physical signals and model outputs into measurements and decisions people can defend. when does a model's output become a measurement you can defend?

Monocular depth estimation, SLAM, and multi-view reconstruction produce geometry that looks convincing but lacks the calibrated uncertainty, sensor traceability, and error characterization that metrology requires. I believe closing that gap will unlock new frontiers in computer perception, and by extension, in what AI-based systems are capable of when they have to be right, not just plausible. I am extending the same question into embedded and multimodal sensing, where measurements must remain defensible despite cross-sensitivity, drift, and imperfect models. I lay out the research direction in Your Depth Map Is Not a Measurement and the epistemological scaffolding in The State Space of Research.

At LSU, I originated the proposal for a Louisiana Board of Regents-funded AI Cyber Risk Lab focused on automating cybersecurity assessment and remediation for small businesses. I left LSU before serving as its PI or participating in project execution. I also originated and authored the proposal, and served as its submitted PI, for the project later funded as NSF EAGER Award No. 2627426, Predictive Front-Running of U.S. Research Trajectories. For that project as well, I left LSU before the award was issued and the project began. Previously, I was Associate Director of the Center for Internal Auditing and Cybersecurity Risk Management in LSU's E.J. Ourso College of Business and taught internal audit, cybersecurity risk management, AI, and ESG.

I founded TrainGRC, a continuing professional education platform for governance, risk, and compliance professionals, and built Quiet Riot, an open-source cloud security research tool featured in TL;DR Sec and cloudseclist and adopted by several closed-source security platforms. I'm also a contributor to Hacking the Cloud, the community knowledge base for offensive cloud security techniques. Building tools that practitioners actually use keeps the research grounded in operational reality.

I coauthored Practical AI for Professionals: Understanding, Using, and Surviving AI, a 412-page professional guide published by Chapman & Hall / CRC Press in 2026. I also speak to technical, professional, and university audiences about production AI architectures, retrieval-augmented generation and system failure modes, and responsible AI adoption.