Hao Huang, MD, MPH
Research Scientist in BiostatisticsCards
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Research Scientist in Biostatistics
Biography
Dr. Huang is a Research Scientist at the department of Biostatistics, Yale School of Public Health. After completing his education in Medicine and Physiology at the First Military Medical School in China, he also completed his graduate education at Yale School of Public Health. His early studies focused on the basic research and study interests included the mechanism of neuronal death after ischemia, glia cell functions in the brain, neuronal circuit, mechanisms, and regulation of sleeping and food intake. More than 10 articles were published from these studies in prestigious journals, including Journal of Neuroscience, Journal of Physiology, etc. Since 2009, his study interests have been focused on clinical studies and public health. As one of the core members in the Data Coordinating Center (DCC) for Reproductive Medicine Network (RMN) and previous National Genomic and Proteomic Network at Yale, Dr. Huang have been actively involved in many important clinical trials, including the Genomic and Proteomic Network for Preterm Birth longitudinal, case-control, and expression profile studies, the Pregnancy in Polycystic Ovary Syndrome II (PPCOSII) study, the Assessment of multiple intrauterine gestations from ovarian stimulation (AMIGOS) study, and the Effects of Physiologic Oxygen Tension on Clinical In Vitro Fertilization Outcomes (PhOx) study. He played important roles in the study design, study initiation, data monitoring, meeting and conference report preparation, data management, data integration and harmonization, statistical analysis and manuscript publications. He has authored or co-authored more than 30 publications in prestigious journals, including 2 articles published in New England Journal of Medicine. Then, Dr. Huang and his colleagues have finished the trials of “Improving Reproductive Fitness Through Pretreatment with Lifestyle Modification in Obese Women with Unexplained Infertility (FIT-PLESE)”, the pilot trial “Males, Antioxidants, and Infertility Trial (MOXI)”, the Evaluation, Validation and Refinement of Noninvasive Diagnostic Biomarkers for Endometriosis (Endo Marker) study, the Optimal treatment for women with a Persisting Pregnancy of Unknown Location- Active Treatment versus Expectant Management (The “ACTorNOT TRIAL”); results from these studies have been published in prestigious journals, including the journal of JAMA and Plos Medicine. Currently, 2 clinical trials/studies (FRIEND and PREGnant) for the new reproductive medicine consortium are in active recruitment. Dr. Huang has been serving and now serves as the Data Director and Lead Statistician of the network/consortium. He also supervises all the secondary or ancillary analyses performed within the center and part of the network. In addition, he serves as the methodological editor for the prestigious journal of Fertility and Sterility.
Appointments
Biostatistics
Research ScientistPrimary
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Education & Training
- MPH
- Yale School of Public Health (2009)
- MS
- The First Military Medical University (2001)
- MD
- The First Military Medical University (1996)
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Research at a Glance
Yale Co-Authors
Publications Timeline
Heping Zhang, PhD
Hugh Taylor, MD
Valerie A. Flores
Kartik Pattabiraman, MD, PhD
Martina Brueckner, MD
Nenad Sestan, MD, PhD
Publications
2026
Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains
Zhu T, Ouyang M, Tan S, Guo J, Zhang Z, Liu X, Liu R, Huang H. Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains. Advanced Science 2026, 13: e12752. PMID: 41486548, PMCID: PMC12970224, DOI: 10.1002/advs.202512752.Peer-Reviewed Original ResearchFitbit data in tracking exercise adherence in a clinical trial
Hu Y, Deng A, Jiang Y, Huang H, Thomas T, Hansen K, Steiner A, Coutifaris C, Cedars M, Eisenberg E, Santoro N, Diamond M, Legro R, Zhang H. Fitbit data in tracking exercise adherence in a clinical trial. Statistics And Its Interface 2026, 19: 101-112. DOI: 10.4310/sii.260107230550.Peer-Reviewed Original ResearchAltmetric
2025
Mapping Functional Brain Organization Using Artificial Intelligence
Zhu T, Mohapatra S, Tan S, Ouyang M, Huang H. Mapping Functional Brain Organization Using Artificial Intelligence. Chemical & Biomedical Imaging 2025, 4: 469-484. PMID: 42064597, PMCID: PMC13126364, DOI: 10.1021/cbmi.5c00092.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsTReND: Transformer Derived Features and Regularized NMF for Neonatal Functional Network Delineation
Mohapatra S, Ouyang M, Tan S, Guo J, Sun L, He Y, Huang H. TReND: Transformer Derived Features and Regularized NMF for Neonatal Functional Network Delineation. Lecture Notes In Computer Science 2025, 15971: 660-669. DOI: 10.1007/978-3-032-05162-2_63.ChaptersCitationsAdvances in magnetic resonance imaging of the developing brain and its applications in pediatrics
Chen R, Li M, Zhao Z, Xu H, Ning C, Lu J, Zhu Q, Huang Y, Zhao R, Zhang L, Tao T, Tang K, Cheng J, Lai C, Zhang H, Ma X, Kim H, Ren Z, Lian C, Wang F, Chen G, Ouyang M, Qiu A, Zhang H, Huang X, Duan X, Li G, Yang J, Huang H, Oishi K, Grant E, Lin W, Xu D, Wu D. Advances in magnetic resonance imaging of the developing brain and its applications in pediatrics. World Journal Of Pediatrics 2025, 21: 652-707. PMID: 40442377, DOI: 10.1007/s12519-025-00905-7.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsAltmetricAccurate prediction of 2-year-old neurodevelopmental outcomes in mild HIE with neonatal white matter microstructure.
Mohapatra S, Wu W, Sindabizera K, Chalak L, Huang H, Ouyang M. Accurate prediction of 2-year-old neurodevelopmental outcomes in mild HIE with neonatal white matter microstructure. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/1041.Peer-Reviewed Original ResearchMaturation of marmoset cortical cytoarchitecture from birth to adolescence with ultra-high-resolution diffusion MRI
Zhu T, Zhang Z, Guo J, Ouyang M, Zheng Y, Sousa A, Levine J, Kriegstein A, Huang H. Maturation of marmoset cortical cytoarchitecture from birth to adolescence with ultra-high-resolution diffusion MRI. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/0529.Peer-Reviewed Original ResearchHigh-fidelity infant regional cerebral blood flow map with isotropic 2mm resolution acquired through segmented 3D GRASE pCASL
Ouyang M, Vidorreta M, Taso M, Detre J, Huang H. High-fidelity infant regional cerebral blood flow map with isotropic 2mm resolution acquired through segmented 3D GRASE pCASL. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/0739.Peer-Reviewed Original ResearchCommon coordinate frameworks of developmental marmoset brain from birth to adolescence based on ultra-high-resolution diffusion MRI
Zhu T, Zhang Z, Guo J, Ouyang M, Sousa A, Levine J, Kriegstein A, Huang H. Common coordinate frameworks of developmental marmoset brain from birth to adolescence based on ultra-high-resolution diffusion MRI. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/0844.Peer-Reviewed Original ResearchUnveiling differential maturation of infant visual and auditory cortex through multimodal MRI and MEG
Li R, Zhu T, Zhang Z, Sindabizera K, Chen Y, Edgar J, Ouyang M, Huang H. Unveiling differential maturation of infant visual and auditory cortex through multimodal MRI and MEG. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/1044.Peer-Reviewed Original Research
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