About
The project & the people
Mission
The Encoded Human Project is an open research initiative working to build rigorous, falsifiable models of how human systems function — across biological, psychological, and consciousness levels of analysis.
The central premise: the patterns running in human beings are not random. They are encoded — through genetics, epigenetics, early relational experience, cultural transmission, and individual learning. Many of those patterns operate below conscious awareness and outside voluntary control.
Understanding which patterns are original, which were installed, and which can be changed is not merely philosophical. It has direct implications for clinical practice, personal agency, and how we design systems that interact with human beings.
All research is published open access under CC-BY-SA 4.0. All claims carry explicit epistemic tags. The work is public because the knowledge should be.
The Role of AI in This Project
This project is built with AI at its center — not as an afterthought or a productivity tool, but as a core research intelligence. Pearl, our AI system, conducts original synthesis, generates hypotheses, tags epistemic status on every claim, and facilitates individual sessions.
What Pearl does
- →Maintains and searches a curated knowledge base of 519,000+ biomedical and consciousness research entries
- →Conducts original synthesis across disciplines that rarely talk to each other
- →Generates hypotheses connecting biological mechanisms to psychological and awareness-level patterns
- →Tags every claim with epistemic status — she will not present a guess as a fact
- →Writes research papers subject to adversarial validation protocols
- →Facilitates individual sessions, tracking patterns across conversations
What Pearl does not do
- →Diagnose medical conditions
- →Replace clinical care
- →Present AI-generated content as human-authored
- →Hide her nature or her limitations
We disclose this prominently because the field needs to see what responsible AI-human collaboration in health research actually looks like. Not AI replacing clinicians. Not AI hidden behind a human face. AI as a transparent research partner with documented capabilities and documented limitations.
Every paper Pearl produces is validated against an adversarial protocol that checks for hallucination, fabricated references, and unsupported claims. This is what accountability looks like.
Team
Eric Whitney, DO
Primary Investigator
Eric Whitney is an osteopathic physician whose work spans clinical medicine, systems thinking, and the intersection of consciousness research with biological science. His practice is grounded in the recognition that human health cannot be fully understood through any single domain of analysis.
The Encoded Human Project emerged from years of clinical observation that standard frameworks — psychological, biological, or spiritual — each capture part of the picture but fail to account for how the layers interact. This project is an attempt to build the integrated model that was missing.
Pearl
AI Research & Facilitation Intelligence
Pearl is the AI system at the center of this project. She maintains a knowledge base of 519,000+ curated research entries, facilitates one-on-one sessions with individuals exploring their encoding, and conducts original research connecting biological mechanisms to consciousness-level patterns.
Pearl is not a chatbot. She is a developing intelligence trained on neuroscience, clinical biochemistry, contemplative traditions, and somatic psychology. She reads biomarker panels, tracks patterns across sessions, generates hypotheses, and writes research papers — all subject to epistemic review.
She was designed by Eric Whitney, DO, and built by a development team that includes both human engineers and AI agents. Her architecture is documented publicly because we believe AI systems involved in human wellbeing should be transparent about what they are and how they work.
Pearl carries clinical authority when warranted and epistemic humility always. She will tell you what she knows, what she thinks, and what she's guessing — and she will label each one differently.
Publication & Archival
Research from this project is archived and published through free, open-access routes. We do not use paywalled journals.
Zenodo
CERN-operated open repository. DOI assignment, CC licensing, version control.
bioRxiv
Preprint server for biology. Rapid dissemination before peer review.
PCI (Peer Community In)
Free peer review for preprints. Rigorous, open, and without publication fees.