Professor, Department of Population Health
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.
PhD from University of Maryland
National Cancer Institute, Biostatistics Branch, Division of Cancer Epidemiology and Genetics
Communications biology. 2023 Mar 17; 6(1):280
Journal of renal nutrition. 2023 Jan; 33(1):35-44
Biometrics. 2022 Dec; 78(4):1686-1698
JMIR research protocols. 2022 Oct 28; 11(10):e42554
Microbiome. 2022 Aug 05; 10(1):121
Obesity medicine. 2022 Aug 01; 33:?-?