RESEARCH & IDEAS
My research is interdisciplinary and systems-oriented. I investigate how information, cognition, intelligence, organization, adaptation and decision-making interact across biological, artificial, technological, economic and social systems.
Rather than treating disciplines as isolated domains, I explore connections between them where those connections can generate useful hypotheses, models or research questions
Research Themes
1. Artificial Intelligence & Cognitive Systems
Research into intelligent systems, cognitive architectures, decision-support systems, machine intelligence and
the relationship between tool-based intelligence and agentic intelligence.
2. Consciousness & Consciousness Engineering
Exploration of consciousness, awareness, cognition and intelligent organization through
conceptual, computational and systems perspectives.
3. Complex Adaptive Systems
Study of feedback, adaptation, organization, emergence, coordination and decision-making in complex systems.
4. Computational Science
Application of programming, computational modelling, simulation and data-driven methods to interdisciplinary scientific problems.
5. Computational Biology & Biotechnology
Research involving biological systems, protein design, computational biology and AI-assisted scientific discovery.
6. Sustainability & Environmental Systems
Research examining technology, sustainability, resource systems, societal resilience and long-term development.
7. AI Governance & Public Policy
Investigation of governance challenges associated with artificial intelligence, technological power, institutional decision-making, accountability and responsible innovation.
8. Economics, Finance & Decision Systems
Research connecting economic behaviour, risk, information, decision-making, organizational systems and measurable value creation.
9. Materials, Energy & Emerging Technologies
Exploration of interdisciplinary concepts involving advanced materials, energy systems and emerging technological architectures.
RESEARCH APPROACH
My approach combines:
•Conceptual Analysis
• Systems Thinking
• Mathematical Reasoning
• Computational Experimentation
• Comparative Analysis
• Interdisciplinary Synthesis
Conceptual hypotheses are treated as research propositions rather than established scientific facts unless supported by appropriate evidence.
Ongoing Work
Current and developing areas include:
* Cognitive and consciousness models
* Intelligent decision-support systems
* Cognrexa AI
* AI governance
* Market and decision-system modelling
* Computational biology
* Protein design and optimization
* Sustainability and systems research
* Layered physical-system frameworks
* Interdisciplinary science
RESEARCH PHILOSOPHY
I believe meaningful scientific progress often occurs at the boundaries between disciplines.
The objective is not to replace established science with speculation, but to formulate questions, frameworks and models that can be examined, challenged, computationally tested and progressively refined.