Pre-registered, corpus-grounded, measured.
NLP embedding models, archetypal identity dynamics, and the synthesis engine underneath. Hypotheses registered before the data; methods and validation stated in the open.
NASA NCAS Scholar · Mission IIIAI lunar surface mapping + an accessible air-taxi — cited as the strongest capstone in the program’s 15-year history. Continuing in a NASA think tank applying ML to lunar mapping.
3 research programs · 1 pre-registered · NASA NCAS ScholarSAAM
The world’s first NLP embedding model built for self-actualization.
- World-first self-actualization embedding
- Pre-registered · DOI 10.17605/OSF.IO/K7TDY
- 68,683-paper corpus
- NASA-STD-7009B triple-tier validation
The essays, drawn.
The long-form papers underneath the work, each rendered as a single instrument-grade figure — honest scales, real claims, drawn from the essays themselves.
The Universe as Self-Generating Seed
Intelligence is escape velocity at every scale — and the generative chain, from hydrogen to comprehension, has no cause outside itself. A grand-unified-theory essay, drawn twice: §3 range–cognition, §4 causa sui.
Read the essaySelf-Actualization as a Quantum-Coherent State
Self-actualization as 40 Hz gamma synchrony and reduced neural entropy: a waveform resolving from fragmented, multi-frequency noise into a single coherent rhythm.
Read the essayIdentity dynamics & synthesis.
Archetypal models of the self and the corpus engine that makes the embedding work possible.
Archetype of Fluidity
Identity modeled as dynamic archetypal states, not a fixed type.
Read the case studyArchetype of Fluidity · identity as dynamic archetypal states - Identity as dynamic archetypal states
- HMM + LSTM transition modeling
- SHAP explainability
- Prototype: Archetype Navigator
Meta-Analysis Tool
A research-synthesis engine over large academic corpora.
Read the case study- AI research synthesis
- Large academic corpora
- Built to support SAAM