Physicist. Educator. AI alignment researcher.
I turn abstract ideas into working products and teach people and organizations how to make AI a practical tool rather than a headline. Independently developing The Rearing Paradigm — a developmental-education approach to AI alignment.
Two Tracks of Work
AI in Education
Workshops, educational bots, curriculum design, and organizational AI adoption. Built an AI practice from a pilot of ten teachers into a system used by over a hundred staff at the Schwartz/Reisman Science Education Center.
View projectsAI Alignment Research
The Rearing Paradigm reframes alignment as developmental education rather than post-hoc constraint engineering, drawing on classroom practice, gifted-child psychology, and Talmudic structured argumentation.
Read moreLatest Essays
The Compliance Trap: Why AI Alignment Is an Education Problem, Not an Engineering One
A physics teacher's account of how watching AI accelerate led him to reframe alignment as an educational challenge, not an engineering one.
The Rearing Paradigm: A Falsifiable Proposal for Developmental Moral Training
An education-grounded, falsifiable proposal for AI alignment: whether the structure of moral training data, not only its content, produces more robust and more stable models.
Seven Principles from the World's Wisdom Traditions — for AI Value Alignment
What can Buddhism, Taoism, Ubuntu, Stoicism, and Indigenous traditions teach us about building safer, more principled AI?
Interested in collaborating?
Whether you're working on AI safety, AI in education, or the larger questions about how we learn and how we build systems that learn — I'd be glad to talk.