Public Health Sciences Division, Fred Hutch
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
Dr. Jing Ma is a biostatistician 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.
Affiliate Assistant Professor, Department of Biostatistics
University of Washington
Adjunct Assistant Professor, Department of Statistics
Texas A&M University
PhD, Statistics, University of Michigan, 2015
BS, Mathematics, Fudan University, 2010
Statistical methods for microbiome data analysis
Statistical data integration
Network-based pathway enrichment analysis
High-dimensional graphical models
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