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huangj5 [at]
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2716 South Street
Philadelphia, PA 19146
United States

Research Topics
Jing Huang, PhD
Jing Huang
Assistant Professor of Biostatistics

Dr. Huang works on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She also works on data integration in Clinical Research Networks.



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Dr. Jing Huang is a faculty member in the Department of Pediatrics at Children’s Hospital of Philadelphia, an assistant professor of Biostatistics in the Department of Biostatistics, Epidemiology and Informatics, and a senior scholar in the Center for Clinical Epidemiology and Biostatistics at the University of Pennsylvania’s Perelman School of Medicine.

Dr. Huang’s research focuses on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She is currently a principal investigator of National Institutes of Health and Patient-Centered Outcomes Research Institute funded projects for characterizing disease trajectory and improving treatment in pediatric Crohn's disease, and for data integration in a Clinical Research Network.

Dr. Huang works in several exciting research areas, including risk prediction of adverse events in congenital heart disease patients using registry, hospital and claims data, dynamic intervention-based on mobile health data, knowledge discovery using electronic health records data, pharmacovigilance using safety reports from the Food Drug Administration  and Centers for Disease Control and Prevention funded post-market surveillance systems, and evidence generation in pediatric distributed research networks.

Working with Drs. David Rubin and Gregory Tasian, Dr. Huang is a co-PI of a project to forecast the impacts of weather and social distancing on COVID-19 transmission. The interdisciplinary team is developing methods to project daily cases of COVID-19 across the US and to support policy making. View the updated model and learn more about this project.

Education and Training

PhD, University of Texas Health Science Center (Biostatistics), 2016

Titles and Academic Titles

Assistant Professor of Biostatistics

Professional Memberships

International Biometric Society, 2016-

International Chinese Statistical Association, 2016-

International Society for Pharmacoepidemiology, 2019-

American Medical Informatics Association, 2016-

American Statistical Association, 2016-

American Heart Association, 2019-

Publication Highlights

Huang J, Chen Y, Landis JR, Mahoney KB. Difference between users and nonusers of a patient portal in health behaviors and outcomes: retrospective cohort study. Journal of Medical Internet Research. 2019 Oct; 21(10):e13146. PubMed PMID: 31593546
Huang J, Yuan Y, Wetter D. Latent class dynamic mediation model with application to smoking cessation data. Psychometrika. 2019 Mar; 84(1):1-8. PubMed PMID: 30607659
Huang, J, Duan, R., Hubbard, RA, Wu, Y, Moore, JH, Xu H, Chen, Y. PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. Journal of the American Medical Informatics Association. 2018 Mar; 25(3):345-352. PubMed PMID: 29206922
Huang J, Liu Y, Vitale S, Penning TM, Whitehead AS, Blair IA, Vachani A, Clapper ML, Muscat JE, Lazarus P, Scheet P. On meta‐and mega‐analyses for gene–environment interactions. Genetic epidemiology. 2017 Dec; 41(8):876-86. PubMed PMID: 29110346
Huang J, Yuan Y. Bayesian dynamic mediation analysis. Psychological Methods. 2017 Dec; 22(4):667. PubMed PMID: 27123750

Active Grants/Contracts

Characterizing Disease Trajectory for Improving Treatment in Pediatric Crohn Disease
PI: Jing Huang, PhD

A two-stage meta-regression framework for precision medicine using data from clinical data research networks
PIs: Yong Chen, PhD and Jing Huang, PhD

Comparative Effectiveness of Pediatric Kidney Stone Surgery
PI: Gregory E. Tasian, MD, MSc, MSCE

Evaluation of the causal pathway between antibiotics, the microbiome, and kidney stone disease
PI: Gregory E. Tasian, MD, MSc, MSCE

Links of Interest