Independent research institute · Austin, Texas
We develop the recognition framework — a single-cost foundation from which physics, mathematics, and information theory follow without free parameters.
Research
Peer-reviewed work in MDPI Mathematics, Axioms, and Entropy, alongside active preprints on arXiv.
Team
A small group of researchers and operators in physics, mathematics, and chemistry.
Director
Discovered the Recognition Science framework and developed the meta-principle — "Nothing cannot recognize itself" — as the tautological foundation for physical law. The framework derives a parameter-free theory of everything from a single cost of imbalance.
Team Lead
Dr. Sci. Physics & Mathematics — General Physics Institute RAS & Heinrich-Heine University Düsseldorf
Leads theoretical research, bringing decades of expertise in many-body systems, plasma physics, and advanced materials science. Senior Scientific Researcher at the Joint Institute for High Temperatures of the Russian Academy of Sciences since 1988.
Research Scientist
Ph.D. Pure Mathematics — UNAM
Bridges abstract mathematical frameworks with Recognition Science principles. His work in category theory and graph theory provides foundations for understanding information flow and emergent behavior. Postdoctoral work at UC San Diego in applied mathematics.
Research Scientist
Ph.D. Theoretical and Computational Chemistry — Southern Methodist University
Applies Recognition Science principles to molecular and chemical systems, integrating quantum chemistry with data-driven modeling. Explores how recognition-theoretic frameworks describe complex molecular interactions and spectroscopic phenomena.
Research Scientist
Ph.D. Theoretical Physics — Colorado State University
Investigates frontier particle physics through the recognition framework — connections between neutrino physics, dark matter, and beyond-Standard-Model phenomena — integrating effective field theory with first-principles structure.
Research Scientist
Ph.D. Physics — Auburn University
Plasma physicist specializing in computational modeling, extended magnetohydrodynamics, and dusty plasma theory. Developed theoretical and simulation methods for dust charge in magnetized and strongly coupled plasmas.
Research Scientist
Ph.D. Astrophysics — University of Utah
Works on general-relativistic astrophysics — compact objects, rotation, and exotic equations of state. Previously contributed to computational solid-state physics and renewable energy research.
Chief Operating Officer
Leads research operations across publications, partnerships, and experimental validation — translating theoretical work into referee-readable papers and measurable technical milestones.