Limin Peng

Limin Peng is a Professor in the Department of Biostatistics and Bioinformatics at Emory University. He joined Emory in 2005 as Rollins Assistant Professor. His research focuses on survival analysis, dynamic regression, and nonparametric/semiparametric inference, with recent work integrating causal inference, latent class analysis, and high-dimensional statistical learning. Collaborative projects span diabetes, cystic fibrosis, neurology, and environmental health, supported by NSF and NIH grants.

Education

• Ph.D., University of Wisconsin - Madison
• M.S., University of Science and Technology of China (USTC)
• B.S., University of Science and Technology of China (USTC)

Research Interests

Dr. Peng’s methodological work bridges statistical theory and applied biomedical research. Key areas include causal inference frameworks for observational studies, survival analysis techniques for competing risks, and machine learning approaches for high-dimensional omics data. His clinical collaborations address diabetes management in hospitalized patients, neurodegenerative disease biomarkers, and environmental health risk assessment.

Recent Articles Trends

Recent publications emphasize causal inference methods (e.g., Mendelian randomization), integration of neuroimaging and omics data, and clinical trial designs for glucose monitoring in vulnerable populations. Methodological innovations include tensor response quantile regression and latent class models for clustered data.

Grants & Funding

Active funding includes NSF grants for statistical methodology development and NIH awards for collaborative diabetes research. Notable projects include the RABBIT 2 surgery trial and continuous glucose monitoring studies in long-term care facilities.

Labs & Collaborations

Collaborates with Emory’s Diabetes Center, Rollins School of Public Health, and Winship Cancer Institute. Leads a biostatistics team supporting clinical trials and epidemiological studies across multiple disciplines.