RESEARCH COLLABORATION
From a hunch in the field to testable research and implementation.
With universities, hospitals, companies, and governments — from research design
and data to ethics, prototypes, evaluation, publication, and deployment.
領域Research Areas
- Patient-facing & personal health AI
- Medical RAG / F-RAG
- Learning-log × LLM-dialogue analytics
- 1.5-person personal AI
- Omission-aware evaluation
- Informational health
- Multi-agent disaster response
- Automorphic engineering
流れProcess
- 01
Framing
Separating and aligning the field problem and the research question.
- 02
Design
Hypotheses, metrics, data, ethics, consent, and governance.
- 03
Build & validate
Prototypes evaluated for both novelty and field effectiveness.
- 04
Publish & deploy
Papers, IP, and paths to real-world implementation.
That hunch can become research.
Data and ethics review still unshaped? Fine — we start by carving out the question together.