THE RESEARCH PIPELINE
The Research Pipeline
6 papers. 30 months. Evidence-based. Peer-reviewed. Built in public.
Dimensional Autism Intelligence: A Conceptual Framework for an 8-Axis Diagnostic Model
AI Detection of Autism: A Systematic Review of Multimodal Neuroimaging Studies
The Historical Record: Documenting Harm in Autism Diagnostic History
Cross-Cultural Validity in Autism Assessment: A Critical Review
The Dimensional Autism Intelligence Assessment Tool (DAIAT): Design and Validation Protocol
Clinical Implementation of the DAI Framework: A Pilot Study
FOUNDATIONAL EVIDENCE
The Studies That Built the Foundation
91.8%
Sensitivity
Multimodal neuroimaging AI detection — the core result cited across the DAI framework.
0.937
AUC
EEG deep learning classification — a 20-minute recording enabling high-accuracy identification.
~88%
Accuracy
Eye-tracking based detection during social scene observation.
L2/3 IT
Neurons
Stanford (2025): autism genes concentrate in the most recently evolved neurons in the human brain.
ACADEMIC PATHWAY
The PhD Route
Target Institutions
Oxford DPhil | UCL | King's College London
Timeline
30-month publication pipeline. P1–P6 built as the evidential foundation for a DPhil application in cognitive neuroscience or psychiatry. Application target: Month 24–30.
Institutional Requirements
Peer-reviewed publication record demonstrating independent research capacity. The DAI pipeline is designed explicitly to meet and exceed these requirements — built in public, so the process is as credible as the output.