Jing Ma, PhD

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Dr. Jing Ma PhD
faculty member

Jing Ma, PhD

Associate Professor, Biostatistics Program, Public Health Sciences Division, Fred Hutch

Associate Professor, Biostatistics Program
Public Health Sciences Division, Fred Hutch

Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Fax: 206.667.7004
Mail Stop: B3-B232

Dr. Jing Ma is an expert in biostatistics who specializes in statistical machine learning and high-dimensional data analysis. Her lab develops new statistical methods for problems in genomics, metabolomics and metagenomics, with applications to cancer biology and aging. Networks are important in this learning process because they are well-suited to representing interactions among biomolecules. For example, Dr. Ma has developed differential network enrichment analysis, which distills large amounts of biological data down to a smaller set of concepts, to identify and validate lipid subnetworks that potentially differentiate chronic kidney diseases by severity or progression. She has also used differential analysis of microbial community structures to detect age-related gut microbial interactions.

Other Appointments & Affiliations

Affiliate Assistant Professor, Department of Biostatistics, University of Washington

Affiliate Assistant Professor, Department of Biostatistics
University of Washington

Adjunct Assistant Professor, Department of Statistics, Texas A&M University

Adjunct Assistant Professor, Department of Statistics
Texas A&M University

Education

PhD, Statistics, University of Michigan, 2015

BS, Mathematics, Fudan University, 2010

Research Interests

Network analysis

High-dimensional data

Analysis of microbiome data

Current Projects

Statistical methods for microbiome data analysis

Statistical data integration

Network-based pathway enrichment analysis

High-dimensional graphical models

Statistical Methods for Network-based Integrative Analysis of Microbiome Data (R01 GM145772)
Principal Investigator: Jing Ma
This project develops novel statistical methods for analysis of microbiome and other -omics data types. The proposed methods will provide systems biology insights into the role of the microbiome in human health and pave the way for intervening the microbiome to address various public health problems.

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Dr. Ma in the News

Selected Scientific Publications

Jing Ma’s Bibliography>

Wang Y, Randolph TW, Shojaie A, Knight P and Ma J. Generalized matrix decomposition regression estimation and inference for two-way structured data. Annals of Applied Statistics. 2023; 17(4):2944-2969. PMCID: PMC10751029

Ma J. Joint Microbial and Metabolomic Network Estimation with the Censored Gaussian Graphical Model. Stat Biosci. 2021 Jul;13(2):351-372. doi: 10.1007/s12561-020-09294-z. Epub 2020 Sep 21. PMID: 34178165; PMCID: PMC8223740.

Ma J, Karnovsky A, Afshinnia F, Wigginton J, Rader DJ, Natarajan L, Sharma K, Porter AC, Rahman M, He J, Hamm L, Shafi T, Gipson D, Gadegbeku C, Feldman H, Michailidis G, Pennathur S. Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease. Bioinformatics. 2019 Sep 15;35(18):3441-3452. doi: 10.1093/bioinformatics/btz114. PMID: 30887029; PMCID: PMC6748777.

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