Yanhui Hong
Research Software Development Engineer at Microsoft
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYanhui Hong is a Research Software Development Engineer at Microsoft Research Asia with five years of professional experience and a strong academic foundation from Tsinghua University in Computer Science. He specializes in backend development for healthcare data interoperability, having contributed C-CDA to FHIR template work in Microsoft's widely-used FHIR-Converter project—mapping complex clinical document sections like allergies, immunizations, and procedures into standardized FHIR resources. At Microsoft he combines research rigor with production engineering, improving template quality through rule-based tests and targeted bug fixes. His early internships at Alibaba, Yahoo, and Microsoft Research reflect a consistent focus on large-scale systems and applied research. Colleagues know him for turning nuanced clinical data challenges into robust, testable conversion logic. Based in Haidian District, Beijing, he brings both deep protocol knowledge and a pragmatic engineering mindset to bridge research and real-world healthcare tooling.
5 years of coding experience
Master's degree, Computer Science and Technology, Master's degree, Computer Science and Technology at Tsinghua University
Github Skills (9)
smart-on-fhir10
liquid10
data-mapping10
hl7-fhir10
templating10
converter10
json9
xml8
testing7
Programming languages (4)
Github contributions (5)
microsoft/FHIR-Converter
Mar 2021 - Jul 2021
Conversion utility to translate legacy data formats into FHIR
Role in this project:
Backend Developer
Backend DeveloperContributions:93 reviews, 14 commits, 25 PRs in 4 months
Contributions summary:Yanhui primarily contributed to the development of the C-CDA (Consolidated Clinical Document Architecture) templates within the FHIR converter project. They focused on creating and refining templates for various sections, including allergy intolerance, immunization, and procedures. The user's work involved mapping data from C-CDA documents to FHIR resources, improving existing templates, and implementing rule-based tests. They also addressed bugs and improved the overall quality of the templates.
hl7v2openxmlfhirdata-formatsfhir-converter
hongyh13/FHIR-Tools-for-Anonymization
Feb 2021 - Mar 2021
Set of tools for helping with data (in FHIR format) anonymization.
Contributions:3 pushes, 1 branch in 21 days
anonymizationfhir
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