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Chuan Hong

Assistant Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical

Overview


Chuan Hong, PhD, joins Duke as an Assistant Professor of Biostatistics effective August 1. She comes to the Duke from Harvard Medical School, where she served as an Instructor of Biomedical Informatics. Dr. Hong received her PhD degree in Biostatistics from the University of Texas Health Science Center at Houston. After that, she obtained postdoctoral trainings in Biostatistics at Harvard T. H. Chan School of Public Health from 2016 to 2018, and in Biomedical Informatics at Harvard Medical School from 2018 to 2019.

Current Appointments & Affiliations


Assistant Professor of Biostatistics & Bioinformatics · 2022 - Present Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics
Member in the Duke Clinical Research Institute · 2021 - Present Duke Clinical Research Institute, Institutes and Centers

Recent Publications


Lifetime Adverse Pregnancy Outcome History and Cardiovascular Risk.

Journal Article Hypertension · June 2026 BACKGROUND: Few studies have examined how multiple types of adverse pregnancy outcomes across women's reproductive lives relate to long-term cardiovascular disease. METHODS: In 59 154 parous participants in Nurses' Health Study II, lifetime history of gest ... Full text Link to item Cite

Performance of PREVENT Cardiovascular Risk in Electronic Health Record-Based Clinical Practice.

Journal Article JAMA Netw Open · April 1, 2026 IMPORTANCE: In 2023, the American Heart Association Cardiovascular-Kidney-Metabolic Scientific Advisory Group introduced the Predicting Risk of Cardiovascular Disease Events (PREVENT) equations, a race-free, sex-specific model for cardiovascular disease (C ... Full text Link to item Cite

Improving classification of myocardial infarction with machine learning in a diverse population.

Journal Article Am J Epidemiol · March 5, 2026 Phenotype classification with electronic health record (EHR) data is increasingly performed with machine learning (ML); however, their performance in diverse population remains understudied. We compared an international classification of diseases (ICD)-bas ... Full text Link to item Cite
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Recent Grants


Overcoming inequities in Pulse oximetry Through clinical InformatiCs (OPTIC)

ResearchCo Investigator · Awarded by National Heart, Lung, and Blood Institute · 2025 - 2029

Implementation partner-guided strategy to promote health equity in ICU prognostication

ResearchCo Investigator · Awarded by National Institutes of Health · 2025 - 2029

View All Grants

Education


University of Texas Health Sciences Center, Houston · 2016 Ph.D.