# Human Phenotype Project (HPP)

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Hagai Rossman](https://cerebralvalley.ai/u/hrossman)
- **GitHub:** https://github.com/hrossman/claude-hpp-research-harness
- **Demo video:** https://www.youtube.com/watch?v=Peg6tlgo1AI
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/100

I built the Claude Human Phenotype Project (HPP) Research Harness, a paper-calibrated, local-first research environment for private biomedical cohorts. Instead of treating a lab’s papers, code, schemas, and notes as disconnected files, it reconstructs the research paths behind them—datasets, cohorts, joins, methods, limitations, and provenance—and turns that knowledge into an executable workflow.
I demonstrated it on the Human Phenotype Project, a deeply multimodal longitudinal cohort. The harness maps prior work, surfaces conflicts and gaps, identifies feasible underexplored questions, and produces reviewable research packages containing data routes, analysis plans, code, uncertainty, reports, and reusable lessons.
The central finding was that the bottleneck is often not a lack of research ideas, but fragmented institutional knowledge and the high cost of making each idea analysis-ready. Research Harness lowers that startup cost while preserving scientific uncertainty, privacy, and traceability. HPP is the proof, but the approach can generalize to other private biomedical cohorts.

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