معرفی
Jing Ma is an Associate Professor in the Biostatistics Program within the Public Health Sciences Division at Fred Hutchinson Cancer Center. She also holds affiliate appointments as an Assistant Professor in the Department of Biostatistics at the University of Washington and the Department of Statistics at Texas A&M University. As a member of the Translational Data Science Integrated Research Center at Fred Hutch, Dr. Ma leads research at the intersection of statistics, machine learning, and biological applications.
Dr. Ma received her PhD in Statistics from the University of Michigan in 2015 and her BS in Mathematics from Fudan University in 2010. Her academic journey has positioned her as an expert in developing novel statistical methodologies for complex biological data.
Dr. Ma's research focuses on network analysis, high-dimensional data analysis, and microbiome data analysis. Her lab specializes in statistical and computational methods for genomic data, particularly microbiome data. The Ma Lab employs various statistical learning methods including dimensionality reduction, graphical models, and high-dimensional inference to address analytical challenges in interpreting omics data. Key research areas include:
- Statistical methods for microbiome data analysis
- Statistical data integration
- Network-based pathway enrichment analysis
- High-dimensional graphical models
Her current projects include "Statistical Methods for Network-based Integrative Analysis of Microbiome Data" funded by an R01 award from the National Institute of General Medical Sciences, and a pilot project on "Systems biology analysis of the immunomodulatory influence of circulating gut microbe-derived metabolites after transplantation" funded by the Translational Data Science Integrated Research Center.
Dr. Ma's publications reveal a strong focus on applying statistical methodology to solve problems in cancer biology, aging research, and microbiome studies. Her work frequently involves collaborations with researchers across multiple institutions and leverages large datasets like those from the Dog Aging Project. She has made significant contributions to methods for differential network analysis, microbial community structure analysis, and integrative analysis of multi-omics data.
Among her notable scientific achievements are:
- R01 award from the National Institute of General Medical Sciences
- Translational Data Science Pilot Award
- Microbiome Research Pilot Award
- Jayne Koskinas Ted Giovanis Foundation Award
Dr. Ma actively mentors students and postdocs, with several former trainees now holding positions at academic institutions and tech companies. She also serves as Chair of the ASA Section on Statistics in Genomics and Genetics, where she organizes the Distinguished Student Paper Award Competition. Her work bridges statistical methodology development with impactful biological applications, particularly in understanding the role of microbiomes in human health and disease.
