Independent research across complex systems — from physics to organizations.
As an independent systems researcher, inventor, and author. My work explores how structure and information shape outcomes in complex systems. I study patterns that repeat across domains: how systems stabilize, degrade, reorganize, and sometimes recover under constraint.
Because this is independent research, the scope is intentionally broad. Some work is technical (formal papers and models). Some is interpretive (essays and synthesis). Some becomes practical (tools and protocols built to reduce bias, compress complexity, and improve clarity under uncertainty). The unifying thread is simple: structure is the fractal form of coherence.
This page organizes my public work into four channels: long-form books, formal papers, shorter articles, and tools.
Long-form books
Books are where my research is translated into cohesive, readable frameworks. These are analytical models—not belief systems—intended to be tested, questioned, and improved. They connect ideas across domains (physical, computational, organizational) without requiring the reader to adopt a “school” or ideology.
Formal research
Papers document definitions, methods, and models with an emphasis on clarity, falsifiability, and dimensional consistency. Topics may span informational metrics, stability conditions, coherence behavior, computational modeling, and other system-level questions across physical and applied contexts.
Articles & essays
Shorter explorations and research notes—often cross-domain. Some focus on organizations, teams, and households; others on science, technology, or system behavior in nature. The aim is to make complex ideas legible without oversimplifying them.
Applied instruments
Instruments include templates, prompts, software and protocols that support high-clarity synthesis and scenario mapping. Some are public utilities; others are research artifacts shared selectively. The design goal is to make science practical, expand what is possible, reduce bias, compress complexity, and make the structure of reality visible without requiring persuasion or “change programs.”