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Research Coordinator: Maria Taylor, B.Sc.

Maria works in the Division of Immunology at Boston Children’s Hospital(BCH) as a Research Coordinator to Dr. Lauren Henderson in the Chatila Laboratory. In her current role, she coordinates subject enrollment and biosample collection at BCH. She also works in the laboratory to process biosamples and conduct Immunology/Rheumatology research with Dr. Henderson. She received her undergraduate degree in Biology from Denison University in 2019. Her research there was focused on Conservational Biology and Plant Systematics. She has worked over the last year as an EMT and Medical Scribe.

 

Statistical Geneticist: Jing Cui, M.D., Ph.D.

Dr. Cui’s primary responsibility in the JBC is to assist with large dataset analysis for the Cellular Systems core, as well as working with the Human Biosamples Core’s analytical team to integrate phenotypic datasets with experimental data, including but not limited to CyTOF and RNA-seq.

Dr. Cui has extensive experience with large datasets, including GWAS, exome chip, and exome sequencing analyses. She developed new analytical tools to dissect gene-environment interaction, understanding gene hierarchy in disease susceptibility and clinical phenotype, and identifying functional variants through her studies with the various BWH research groups. She has served as the primary statistician for BRASS for more than 10 years, with experience coding data on clinical outcomes, linking biomarker and genetic datasets to outcomes scales, medication information, and clinical phenotypes.

Biostatistician: Bing Lu, Ph.D.

Dr. Lu serves as a lead biostatistician and provide consultation to JBC members on the use of state-of-the-art statistical methods for translational research. He reviews analysis proposals, provide guidance regarding study design, sample size and power calculations, and contributes to grant proposals.

In addition to providing JBC members with his expertise, Dr. Lu is a PI of an NIH-funded R01 grant to investigate the association between dietary patterns and RA risk. He has developed novel methodology to analyze cluster randomized clinical trials, and demonstrated associations between obesity, sugar sweetened soda intake and risk of RA, as well as of the protective effects of alcohol.

 

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