Assistant Professor, Department of Population Health
As an Assistant Professor of Biostatistics at NYU Grossman School of Medicine’s Department of Population Health, 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 PI of a study that utilizes high-dimensional metabochip data for the prediction of coronary artery calcification progression (supported by the Center for the Study of Asian American Health, NIH-NIMHD U54MD000538-19) and co-I of various NIH and foundation-funded projects. Additionally, I serve as Associate Director of NYU Biostatistics Resource at NYULH, and co-lead of CSAAH’s Investigator Development Core.
646-501-3639
180 Madison Ave, RM 250
2nd Floor
New York, NY 10016
Assistant Professor, Department of Population Health at NYU Grossman School of Medicine
PhD from Fudan University
NYU Grossman School of Medicine, Huilin Li lab (https://sites.google.com/view/huilinli/)
Frontiers in cellular & infection microbiology. 2022 Nov; 12:988717
Microbiome. 2022 Aug 05; 10(1):121
Biometrics. 2022 Dec; 78(4):1686-1698
Statistical methods in medical research. 2019 07; 28(7):1927-1941
Diabetes. 2018 09; 67(9):1880-1891
Microbiome. 2018 07 25; 6(1):131
Bioinformatics. 2016 03 01; 32(5):705-12
BMC public health. 2023 Mar 28; 23(1):575