Profile
Trained as a medical doctor at Hanoi Medical University, I work at the interface of clinical medicine, data science, and healthcare technology implementation — at VinUniversity and Vinmec.
My work spans biostatistics and clinical research analytics, reproducible data pipelines, institutional research intelligence and dashboards, and clinical-engineering workflows for personalized 3D medical technology.
From population-level biomedical data to patient-specific medical devices — unified by reproducible, data-driven methods.
Study design, survival analysis, and diagnostic-accuracy evaluation with reproducible statistical workflows that turn clinical datasets into manuscript-ready evidence.
AI-ready biomedical datasets, data-cleaning pipelines, and analysis tooling in R and Python — biomedical data made structured, reproducible and analysis-grade.
Publication tracking, institutional analytics and reporting — integrating Scopus, OpenAlex, Crossref and SJR into maintainable dashboards and decision-ready outputs.
Imaging-to-design workflows, patient-specific implants and guides, QA/QC and traceability — clinical-engineering implementation under a university–hospital model.
Co-authored research across immunology & sepsis, orthopaedics & 3D technology, paediatric diagnostics, and medical education.
Metadata from the project publication record · primary links resolve to official publisher pages
Beyond publications — the workflows, dashboards and medical technology I build and operate.
Building and managing clinical-engineering workflows for personalized anatomical models, surgical planning, patient-specific guides, and customized implants — with QA/QC documentation and full traceability from imaging to clinical deployment.
A modular research-intelligence pipeline that crawls, enriches and classifies institutional publication data from Scopus, Crossref, OpenAlex, PubMed and SJR — powering author mapping, quartile analytics, collaboration maps and reproducible reporting dashboards.
Interactive R/Shiny applications for environmental and health data monitoring — turning raw datasets into accessible, decision-ready visual reporting.
Get in touch
PhD supervision · research collaboration · healthcare technology · teaching & resources