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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


A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals.

Journal Article J Biomed Inform · February 2026 OBJECTIVE: In this paper, we propose an adaptive federated learning framework to learn optimal treatments for individual hospitals that possibly serve different patient populations. The proposed framework can enable the design of more efficient treatment a ... Full text Link to item Cite

Determinants of publication likelihood and timeliness for clinical studies.

Journal Article J Clin Transl Sci · 2026 INTRODUCTION: Timely dissemination of clinical trial results is essential to advance knowledge, guide practice, and improve outcomes, yet many trials remain unpublished, limiting impact. We examine what drives publication and timelines across three major c ... Full text Link to item Cite

Unsupervised Coverage Sampling to Enhance Clinical Chart Review Coverage for Computable Phenotype Development: Simulation and Empirical Study.

Journal Article JMIR Med Inform · November 27, 2025 BACKGROUND: Developing computable phenotypes (CP) based on electronic health records (EHR) data requires "gold-standard" labels for the outcome of interest. To generate these labels, clinicians typically chart-review a subset of patient charts. Charts to b ... 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 Institutes of Health · 2025 - 2029

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

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

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Education, Training & Certifications


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