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
Current developments in nutrition. 2022 May; 6(5):nzac046
International journal of cancer. 2022 Mar 15; 150(6):928-940
Frontiers in genetics. 2022 Feb; 13:777877
Science translational medicine. 2021 Nov 24; 13(621):eabf7084
Cancer. 2021 Nov 01; 127(21):3985-3990
Life science alliance. 2021 11; 4(11):
Nature microbiology. 2021 Oct; 6(10):1245-1258
BMC genomics. 2021 Sep 15; 22(1):667