I work where clinical operations, applied AI and digital tools meet.
I spent about three years on the front line of global Phase III clinical trials (cardiovascular, renal and rare diseases), from CRA to Senior CRA. I now work on clinical AI and digital clinical operations.
In clinical settings, traceability matters more than a fluent answer.
- A peer-reviewed machine-learning study on clinical trial site risk prediction, published in the International Journal of Medical Informatics (2026).
- Studying technology transfer part-time (master's).
- Clinical AI
- AI governance and adoption
- Turning new technology into practical tools for clinical development
- First-principles thinking
| Project | What it does |
|---|---|
| ferryman | A ferryman, not a judge: a first-principles thinking skill for AI agents. Decisions, root causes, learning from the ground up, judging facts against rules; every answer traced to what it rests on and reviewed adversarially before you see it. Bonus clinical research pack (China GCP 2026, ICH, CTCAE, 21 CFR, EU CTR, verbatim). |
| zhiwen-yaoguan-toolkit | 知闻药观工具箱：CTCAE v6.0 不良事件分级检索 (CTCAE v6.0 adverse event grading lookup). |
A Chinese WeChat official account on clinical-research regulation, AI in drug development, and AI work methods for people in pharma.
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