The Research Pipeline
A 30-month publication strategy: 6 papers across diverse journals, building academic authority toward PhD application. Starting from evidence. Building in public.
P1 — Beyond the Spectrum: A Case for Dimensional Profiling
Critiques the linear spectrum model and introduces the case for dimensional profiling of autistic cognition.
Key areas:
- Historical analysis of the autism spectrum model
- Neuroscientific basis for dimensional approach
- Preliminary DAI framework introduction
P2 — AI Detection of Autism: Systematic Review
Comprehensive review of AI and machine learning approaches to autism detection, with accuracy metrics and clinical implications.
Key areas:
- 91.8% sensitivity in multimodal neuroimaging detection
- EEG deep learning AUC 0.937
- Eye-tracking accuracy ~88%
P3 — The DAI Framework: A Conceptual Model
Detailed specification of the Dimensional Autism Intelligence model: the 8 axes, their neurobiological basis, and measurement approaches.
Key areas:
- 8 independent cognitive axes
- Neurobiological foundation for each dimension
- Measurement and profiling methodology
P4 — A Century of Medical Failures in Autism
Historical and critical analysis of medical and psychiatric approaches to autism — from refrigerator mother theory to modern overmedication.
Key areas:
- Historical harm documentation
- Critique of current treatment paradigms
- Alternative frameworks for support
P5 — Autistic Cognition in the AI Workplace
Explores how the 8-axis DAI model helps explain autistic cognitive strengths in technical fields and how AI teams can leverage these strengths.
Key areas:
- Pattern recognition and systems thinking
- Workplace environment optimization
- Recruitment and retention strategies
P6 — Empirical DAI Pilot Study
First empirical validation of the DAI framework using neuroimaging and cognitive profiling. Requires institutional affiliation (secured via visiting researcher route by Month 18).
Key areas:
- Neuroimaging validation (fMRI, DTI, sMRI)
- Cognitive testing battery
- Clinical and non-clinical cohorts
Publication Strategy
This 30-month pipeline is designed to build academic authority and citation history before PhD application. Papers 1–5 require no lab access — they are literature reviews, perspectives, and conceptual work based on published research. Paper 6 requires institutional affiliation, which will be secured via a visiting researcher position by Month 18.
Each paper is written with full citations, peer-reviewed rigor, and input from the 15-agent collaborative team. Every claim is evidence-backed. Nothing is speculation.
The Science Behind This Timeline
2025 Stanford study: The fastest-evolving neurons in the human brain (L2/3 IT neurons) are the same neurons where autism-linked genes concentrate. This is the foundation of the entire project. AI detection now achieves 91.8% sensitivity in multimodal neuroimaging. The tools exist. The evidence is there. The framework just needs to catch up.