Hongmei Jiang

Hongmei Jiang is a Professor of Statistics and Data Science and the MS Program Director in the Department of Statistics and Data Science at Northwestern University's Weinberg College of Arts & Sciences. She holds a Ph.D. from Purdue University (2004). Her research focuses on statistical methodologies for genomic and metagenomic data analysis, including microbiome normalization, multiple comparisons, survival analysis, and precision medicine applications. She has contributed significantly to understanding microbial community dynamics and their implications in health and disease.

Her work spans bioinformatics, epigenetics, and clinical statistics, with recent publications addressing microbiome data imputation, primate gut microbiota's role in metabolism, and cardiovascular disease risk prediction using neural networks. She has collaborated on studies involving epigenetic aging, HIV/HPV interactions in carcinogenesis, and forensic microbial source tracking.

Dr. Jiang's methodological innovations include novel statistical frameworks for differential abundance testing, quasi-likelihood models for microbiome data, and graphical lasso extensions for omics network analysis. Her research emphasizes interdisciplinary applications across biology, medicine, and ecology, leveraging both frequentist and machine learning approaches.

• Education: Ph.D. in Statistics, Purdue University, 2004
• Affiliations: Department of Statistics and Data Science, Northwestern University
• Labs/Teams: MS Program Leadership, Metagenomic Data Analysis Group