Welcome to the Huilin's Lab!  I am an associate professor in Division of Biostatistics, Department of Population Health, New York University School of 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. 

     In recent years, 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 have enriched experiences in analyzing microbiome data through widely collaborations at NYU on human/murine studies, clinical trials/observational population level epidemiological studies, and cross sectional studies/longitudinal studies.

    I have more than 10 years of research experiences in statistical methodology developments and biomedical applications. I have made major contributions as a collaborator with medical investigators in diabetes, obesity, cancer, health interventions, and many other fields. I have rich experience in conducting collaborations on the basic science, clinical trial and observational studies.   




    Mailing address:
    Department of Population Health
    Division of Biostatistics
    New York University School of Medicine
    180 Madison Ave, Suite 5-52
    New York, New York 10016

    Tel: 646-501-3651

     E-mail: huilin.li "at" nyumc.org