Knowledge exploration system
NEXUS
A system for identifying where scientific ideas, methods, and representations might transfer across fields.
The aim is to move beyond ad hoc analogy-making. NEXUS uses large-scale scientific literature, historical examples of successful cross-domain transfer, and structured novelty checks to identify where a method or concept from one field might become useful in another. It began with clinical and biomedical examples, but the broader ambition is more general: computational support for navigating scientific possibility space.
AI-assisted discoveryCross-domain transferLiterature-scale evidenceHypothesis generation
Experimental route-analysis toolkit
Physarum
A local toolkit that turns a concise research starting position into route cards, safe exploratory checks, review packets, route memory, and a next-step memo.
The aim is to make uncertain research frontiers easier to inspect without pretending to automate scientific judgement. Physarum extracts candidate routes from a safe starting-position file, runs route-aware filaments for literature, terminology, analogy, skeptic, and implementation pressure, gathers public-metadata and safe-local signals into reviewable packets, preserves pursue / park / reject decisions, and writes an everyday decision artifact: physarum-return.md.
Route-aware filamentsReview packetsRoute decisionsphysarum-return.mdSafe public-metadata checks
Domain literature intelligence
glucose.ai
A literature intelligence and discovery surface for diabetes and AI / machine learning work.
The aim is to make the diabetes and AI literature easier to monitor, search, and turn into useful research leads. glucose.ai acts as a public-facing discovery surface for papers, themes, and emerging methods in diabetes, metabolic medicine, and clinical AI.
Public websiteDiabetes + AI / ML discoveryLiterature radar