Healthcare Data & AI Leader · Product & Engineering
10+ Years Shipping Medical AI in US Health Systems · EN / 中文
I'm a physician and healthcare data executive with 10+ years building and shipping AI products inside US hospitals and health systems. My career spans national-scale health analytics at Embold Health (claims data across 50 states), clinical research at Vanderbilt University, and leading the Clinical Research Data Core team at VUMC Health Policy.
I sit at the intersection of clinical medicine, data engineering, and product, which means I can translate between the bedside, the boardroom, and the data platform. I write open guides for clinical AI builders and publish applied research on healthcare AI through my Substack, Shovel Seller MD.
Bilingual in English and Mandarin Chinese.
Applied weekly curriculum for shipping medical LLMs in production. 20+ modules covering GPT + claims data, medical data warehouse architecture, LLM failure modes in healthcare, and more. Production-ready code, legal contracts, and implementation frameworks from 10+ years in the field.
Signals executive capacity: synthesizing deep field experience into teachable frameworks is the same skill a CDO deploys to build institutional data literacy across a health system.
Open-access guide bridging clinical knowledge and data skills for healthcare practitioners. ⭐ 122 stars on GitHub. Written for analytics engineers entering the healthcare space.
122 stars reflects community trust and domain authority, evidence of thought leadership that extends beyond any single organization, and the kind of external credibility that opens doors at the board and C-suite level.
Curated study guide for the Microsoft Certified Fabric Data Engineer Associate (DP-700) exam.
Demonstrates hands-on engagement with the platforms the team uses.
I practice Aikido. The discipline of redirecting force rather than opposing it has turned out to be a useful mental model for navigating healthcare IT politics, aligning clinical and engineering teams, and building momentum inside institutions that move slowly by design.
If you're building the data and AI strategy for a health system or health tech company in the US, especially in the Pacific Northwest, I'd like to talk.