Associate Professor, Department of Population Health
Associate Professor, Department of Environmental Medicine
My central research focus is to develop and apply innovative statistical methods to solve challenging data analysis problems in three biomedical research areas: 1) high-throughput metagenomics/microbiome/genetics data analysis, 2) complex survey methodology, and 3) biomedical collaborative research.
I am the director of Metagenomic/Microbiomic Data Analysis Group in Department of Population health. With NIH’s support, my research group has been focused on developing novel statistical methods in analyzing metagenomics and microbiome data, including microbiome association test, longitudinal microbiome data analysis, and microbiome causal/mediation modeling. We work closely with various NYULMC research labs to ensure that the latest statistical methods are incorporated for optimal experimental design and downstream data analysis. We develop best practice data analysis pipelines for a variety of experimental designs that integrate proprietary software from the existing microbiome data analysis platform and the best Open Source tools, as well as software developed within our group.
Associate Professor, Department of Population Health at NYU Grossman School of Medicine
Associate Professor, Department of Environmental Medicine at NYU Grossman School of Medicine
PhD from University of Maryland
National Cancer Institute, Biostatistics Branch, Division of Cancer Epidemiology and Genetics
Journal of the National Cancer Institute. 2021 May 04; 113(5):626-631
Circulation research. 2021 Apr 16; 128(8):1122-1138
Blood advances. 2021 Mar 09; 5(5):1194-1198
medRxiv : the preprint server for health sciences. 2021 Feb 26;
Statistics in medicine. 2021 Feb 20; 40(4):885-896