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Huilin Li

Huilin Li, PhD

Professor, Department of Population Health

Biostatistics, Metagenomics/Microbiomics Data Analysis, Statistical Genomic Methodology, Survey methodology, Study design

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.

Link to Li Lab




Academic office

180 Madison Avenue, RM 552

Fifth Floor

New York, NY 10016

Lab Website
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These focus areas and their associated publications are derived from medical subject headings from PubMed.
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PhD from University of Maryland

National Cancer Institute, Biostatistics Branch, Division of Cancer Epidemiology and Genetics

Senatus, Laura; Egaña-Gorroño, Lander; López-Díez, Raquel; Bergaya, Sonia; Aranda, Juan Francisco; Amengual, Jaume; Arivazhagan, Lakshmi; Manigrasso, Michaele B; Yepuri, Gautham; Nimma, Ramesh; Mangar, Kaamashri N; Bernadin, Rollanda; Zhou, Boyan; Gugger, Paul F; Li, Huilin; Friedman, Richard A; Theise, Neil D; Shekhtman, Alexander; Fisher, Edward A; Ramasamy, Ravichandran; Schmidt, Ann Marie

Communications biology. 2023 Mar 17; 6(1):280

St-Jules, David E; Hu, Lu; Woolf, Kathleen; Wang, Chan; Goldfarb, David S; Katz, Stuart D; Popp, Collin; Williams, Stephen K; Li, Huilin; Jagannathan, Ram; Ogedegbe, Olugbenga; Kharmats, Anna Y; Sevick, Mary Ann

Journal of renal nutrition. 2023 Jan; 33(1):35-44

Hu, Lu; Islam, Nadia; Zhang, Yiyang; Shi, Yun; Li, Huilin; Wang, Chan; Sevick, Mary Ann

JMIR research protocols. 2022 Oct 28; 11(10):e42554

Xiao, Xiansha; Feng, Xiang; Yoo, Jin Hee; Kovach, Amanda; Darwin, K Heran; Li, Huilin

mSphere. 2022 Oct 26; 7(5):e0027422

Popp, Collin J; Hu, Lu; Kharmats, Anna Y; Curran, Margaret; Berube, Lauren; Wang, Chan; Pompeii, Mary Lou; Illiano, Paige; St-Jules, David E; Mottern, Meredith; Li, Huilin; Williams, Natasha; Schoenthaler, Antoinette; Segal, Eran; Godneva, Anastasia; Thomas, Diana; Bergman, Michael; Schmidt, Ann Marie; Sevick, Mary Ann

JAMA network open. 2022 09 01; 5(9):e2233760

Wang, Chan; Segal, Leopoldo N; Hu, Jiyuan; Zhou, Boyan; Hayes, Richard B; Ahn, Jiyoung; Li, Huilin

Microbiome. 2022 Aug 05; 10(1):121

Bruno, Joanne; Verano, Michael; Vanegas, Sally M.; Weinshel, Elizabeth; Fielding, Christine Ren; Lofton, Holly; Fielding, George; Schwack, Bradley; Chua, Deborah L.; Wang, Chan; Li, Huilin; Alemán, José O.

Obesity medicine. 2022 Aug 01; 33:?-?