Jiyuan Hu, PhD

As an assistant professor at NYU Grossman School of Medicine’s Department of Population Health, Division of Biostatistics, my primary research interests lie in the development of statistical, computational, and machine learning approaches for the analysis of high-dimensional ‘-omics’ data and the modeling of comprehensive ophthalmic data.

My work involves analyzing high-dimensional metagenome/microbiome, DNA-seq, and RNA-seq data from large-scale population studies, as well as developing models for comprehensive ophthalmic data, including optical coherence tomography (OCT) scans and imaging scans to investigate the pathogenesis of glaucoma and other disorders. I collaborate on broad biomedical research projects throughout the school and provide biostatistical support for randomized/cluster-randomized/pragmatic clinical trials.

Currently, I am the principal investigator of a study that utilizes high-dimensional metabochip data for the prediction of coronary artery calcification progression (supported by the NYU Center for the Study of Asian American Health (CSAAH), NIH-NIMHD U54MD000538-19) and co-investigator of various National Institutes of Health- and foundation-funded projects. Additionally, I serve as associate director of NYU Langone’s Biostatistics Resource and co-lead of CSAAH’s Investigator Development Core.