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Bing Ma, PhD

Academic Title:

Research Associate

Primary Appointment:

Microbiology and Immunology

Location:

Health Sciences Facility III, 670 West Baltimore St, Baltimore 21201

Phone (Primary):

410-706-8365

Education and Training

I received my Ph.D. from the University of Wisconsin-Madison in Computational Biology, specialized training in Genome Sciences. I pursued postdoctoral training in the Laboratory of Dr. Jacques Ravel and then joined the faculty at the Institute for Genome Sciences and Department of Microbiology and Immunology at the University of Maryland School of Medicine. 

Biosketch

My research is intensively focusing on the application of the state-of-the-art ‘omics’ technologies to advance our understanding of the microbial ecosystem, and to translate mechanistic microbiome into actionable prevention, diagnosis and therapeutics. My academic training and research experience in all three areas of Genomics, Microbiome, and Bioinformatics provided me a fundamental knowledge and technical skills to conduct multidisciplinary research. I have designed and implemented computational approaches for the integrative analysis of genomics, metagenomics and metatranscriptomics sequencing data, which I have applied to the study of the microbial ecosystem. 

Research/Clinical Keywords

Microbiome, Multi-‘Omics’, Metagenomics, Genomics, Metatranscriptomics, Metabolomics, Bioinformatics, Virome, Host-Pathogen Interaction, Multi-‘Omics’, Metagenomics, Genomics, Metatranscriptomics, Metabolomics, Bioinformatics, Biomarker discovery, Machine Learning, Systems Biology

Highlighted Publications

  • Ma B, Forney LJ, and Ravel J. 2012. The vaginal microbiome: rethinking health and disease. Annu Rev Microbiol. 66:371-89.
  • Fadrosh DW*, Ma B*, Gajer P, Sengamalay N, Ott S, Brotman RM, Ravel J. 2014. An Improved Dual-Indexing Approach for Multiplexed 16S rRNA Gene Sequencing on the Illumina MiSeq Platform. Microbiome. 2:6.
  • Ma B*, et al. Perna NT. 2014. Identification of host-microbe interaction factors in the genomes of soft rot-associated pathogens Dickeya dadantii 3937 and Pectobacterium carotovorum WPP14 with supervised machine learning. BMC Genomics. 15:508.
  • Nunn KL, et al. Ma B, et al. Lai S. 2015. Enhanced trapping of HIV-1 by human cervicovaginal mucus is associated with Lactobacillus crispatus-dominant microbiota. 2015. MBio 6 (5), e01084-15
  • Shannon B, et al. Ma B, et al. Kaul R. 2017. Distinct Effects of the Cervicovaginal Microbiota and Herpes Simplex Type 2 Infection on Female Genital Tract Immunology. The Journal of Infectious Diseases 215 (9), 1366-1375