Computational scientist and software developer working on invariant relational mathematics and its application across engineering and scientific domains.
- Invariant Relational Mathematics (ABCRE) — a formal operator framework for relational evolution over bounded domains, applicable across simulation, detection, control systems, and AI architecture
- Metatron Dynamics — commercial development and application of the ABCRE framework
- Relational Relativity Corporation — open-source portfolio arm of Metatron Dynamics, demonstrating structure-vs-control patterns, early warning detection, and bounded operator design
- Cross-domain simulation — supply chain dynamics, robotics load balancing, adaptive stability, bounded plasticity, and more
Independent researcher and software developer. Two decades of study across mathematics, physics, systems biology, and cognitive science converged on a single question: what structural relationships persist across domains regardless of implementation? That question drove the development of invariant relational mathematics — formalized as the ABCRE operator kernel — and a body of mathematically rigorous system designs preceding any implementation.
The code followed the mathematics. Results are specific and falsifiable: 88-step early warning lead time, bounded update operators replacing conditional branching, operator type signatures enforced by construction. The domain breadth — supply chain, robotics, adaptive control, audio synthesis — is evidence of cross-domain invariance, not a credential list.
- 🧮 Invariant Relational Kernel — ABCRE — canonical operator basis: A, B, R, C, E
⚠️ Supply Chain Early Warning Demo — 88-step lead time via ABCRE field detection vs. 45-step scalar baseline- 🎛️ Bounded Update Controller — replacing conditional branching with structural boundedness
- 🔗 Full portfolio — Relational Relativity Corporation
The repositories here demonstrate the framework across specific domains. If you're exploring whether relational mathematics applies to your work — in simulation, control systems, AI architecture, or elsewhere — I'm interested in that conversation.
Implementation requires more than reading the code. If the approach resonates, reach out.
Collaborating with Bruce Stephenson — energy physicist and CTO, Metatron Dynamics

