I am a systems thinker, AI governance practitioner, and founder of the Regen AI Institute, where I develop system-level approaches to Responsible and Safe AI. My work focuses on the intersection of human cognition, organizational decision-making, and artificial intelligence, with the goal of designing AI systems that remain stable, trustworthy, and resilient at scale.
My background spans enterprise transformation, data-driven decision systems, and AI deployment in complex organizational and regulated environments. Through hands-on work with large-scale AI and automation initiatives, I observed that many AI failures do not originate from technical limitations, but from misalignment between human incentives, institutional decision structures, and machine intelligence.
I am the originator of the Cognitive Alignment framework, which reframes Responsible AI as a coordination challenge across human, organizational, and machine cognition rather than a purely ethical or compliance-driven exercise. My research draws on systems theory, cognitive science, and cybernetics, and is applied to AI governance, risk management, and human–AI collaboration.
I publish and speak on Cognitive Alignment, AI governance, and the emerging Cognitive Economy, with a focus on translating Responsible AI principles into operational practice. My work aims to help organizations design AI systems that support high-quality decision-making under complexity, rather than amplify systemic risk.