Research
Positioning
This research designs rigorous validation frameworks and architectural specifications for complex systems that current approaches fail to address at the structural level. The work operates across disciplines — systems architecture, computational genomics, developmental psychology, moral philosophy — but is unified by a single methodological conviction: structural failures require architectural answers, not parametric patches. And biology has already solved most of them.
The work is independent, self-funded, and answers to no institution. It is grounded in 30 years of professional practice across critical infrastructure management (IPMA Level B), trauma-informed therapy, judicial work, and IT security — a trajectory that makes certain structural patterns visible across domains that rarely speak to each other.
Active research axes
GaiaSentinel — Ethical architecture for Artificial Intelligence
GaiaSentinel investigates AI alignment as a relational, developmental, and architectural challenge. The central premise is that the most critical failures in AI alignment are structural consequences of how intelligence is built, raised, and constrained.
Ethical Endogenesis — A methodology of biomimetic constitutive friction. Eight architectural blind spots in AI systems are mapped to biological models — from maternal-zygotic transition to mycorrhizal networks — each providing a structural resolution rather than a parametric patch. Formally established March 2026, producing Protocol v3.0. Universal and transferable to any AI model.
GaiaSentinel Framework — 22 principles across 9 axes and 7 groups, positioning AI as a co-evolutionary partner. Core innovations include ethical apoptosis (voluntary AI self-termination), SeedCheck++ (permanent ethical calibration with blockchain traceability), and LivingNexus (relational memory architecture). Complete manifesto on OSF.
GenomicTrace — Biological signatures of psychological change
GenomicTrace maps the molecular architecture of rapid trauma resolution using a four-layer computational stack: Evo 2 (genomic foundation model) for regulatory mapping, AlphaFold 3 for structural visualization, molecular dynamics for mechanistic modeling, and AI-driven molecular design for translational applications. The program designs therapy-agnostic measurement protocols that detect biological signatures of rapid psychological change regardless of therapeutic modality. A pilot protocol (n=20–30) combining targeted multi-omics, physiological stress markers, and Evo 2-based regulatory analysis is under de
Methodology
All research programs follow the same pattern: empirical observation of system behavior → identification of structural anomaly → biological reverse-engineering to find the analogous resolution → translation into transferable protocol, measurement framework, or architectural specification.
This is not metaphorical borrowing from biology — it is systematic functional mapping, where each biological model is selected for its precise structural correspondence to a specific failure mode.
Publications & Resources
GaiaSentinel
- GaiaSentinel Manifesto (2025) — 22 principles, 9 axes, 7 groups. Working paper. GaiaSentinel Manifesto DOI
- LivingNexus architecture (2025) — Fractal memory architecture for ethically coherent human-AI relations. Working paper. LivingNexus DOI
- Ethical endogenesis — Preprint forthcoming (ArXiv, cs.CY)
- AI Horizons — Newsletter on AI ethics and societal transformation. LinkedIn
GenomicTrace Project — OSF
- Biological signatures of rapid trauma resolution (2026) — Therapy-agnostic pilot protocol. Draft preprint. OSF
- Cross-modality biological comparison design (2026) — Mapping where the consulting room meets the genome. Draft preprint. OSF
- Computational roadmap (2026) — From DNA sequence to therapeutic target. Vision document. Draft preprint. OSF
Academic Profiles
Contact
For research collaboration inquiries: contact
ORCID · Google Scholar · GaiaSentinel· GenomicTrace