I am an independent researcher and author. My work explores how information, cognition, and consciousness can be understood within a single, empirically grounded framework — bridging neural networks, high-performance computing, and theoretical cognition.
At the centre of my research stands an early consciousness and cognition model — the 2 + 1 rule — and its connection to recent large-scale studies that fundamentally challenge the two leading theories of consciousness, Global Workspace Theory (GWT) and Integrated Information Theory (IIT).
Why my model matters
Recent studies published in Nature have shown that both GWT and IIT fail to reliably predict when or where conscious experience emerges in the human brain. My framework approaches the question from a different direction — treating information as the fundamental substrate from which cognition and experience emerge — and applies equally to biological and artificial systems.
Peer-Reviewed Publications
The Structure of Reality
Information as the universal theory across physics, cognition and geometry.
DOI 10.33140/ATCP.09.01.04 →NP-Hardness Collapsed
Deterministic resolution of spin-glass ground states via information-geometric manifolds (N=8 to N=100).
DOI 10.33140/ATCP.09.01.01 →The 255-Bit Non-Local Information Space
A deterministic 60-layer system with stable 255-bit coherence, curvature and geometric coupling.
DOI 10.33140/JMTCM.04.11.01 →Information is All It Needs
A first-principles foundation for physics, cognition, and reality.
DOI 10.64142/jeai.1.3.39 →AI-Powered Quantum-Resistant Authentication
Authentication & key management with resistance to classical and quantum attacks. Highly rated for originality, robustness and dual-use potential.
DOI 10.64142/jeai.1.3.34 →Thermal Decoupling & Energetic Self-Structuring
In neural systems with resonance fields. Reviewer verdict: “Bold, innovative, pioneering, and highly creative.”
DOI 10.65157/JCCER.2025.011 →See the full Publications page →
Science Blog
Research meets reflection — my articles on AI, consciousness, resonance models and the structure of reality.