Andrew Ghazi headshot

Andrew Ghazi, PhD

Statistical Geneticist, Core for Computational Biomedicine
Research Associate in Biomedical Informatics

Andrew Ghazi is a computational biologist at the Core for Computational Biomedicine. Prior to joining CCB, he obtained his PhD from Baylor College of Medicine, where his thesis focused on Bayesian modeling of high-throughput sequencing assays. He then completed a postdoctoral fellowship in the lab of Dr. Curtis Huttenhower at the Broad Institute, where he developed statistical methodologies for multiomic data integration and strain-level metagenomic data. Dr. Ghazi is interested in combining large scale 'omics data with probabilistic modeling.

A host-microbiota interactome reveals extensive transkingdom connectivity.
Authors: Sonnert ND, Rosen CE, Ghazi AR, Franzosa EA, Duncan-Lowey B, González-Hernández JA, Huck JD, Yang Y, Dai Y, Rice TA, Nguyen MT, Song D, Cao Y, Martin AL, Bielecka AA, Fischer S, Guan C, Oh J, Huttenhower C, Ring AM, Palm NW.
Nature
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The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes.
Authors: Wang K, Mehta RS, Ma W, Nguyen LH, Wang DD, Ghazi AR, Yan Y, Al-Shaar L, Wang Y, Hang D, Fu BC, Ogino S, Rimm EB, Hu FB, Carmody RN, Garrett WS, Sun Q, Chan AT, Huttenhower C, Song M.
Microbiome
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Strain Identification and Quantitative Analysis in Microbial Communities.
Authors: Ghazi AR, Münch PC, Chen D, Jensen J, Huttenhower C.
J Mol Biol
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High-sensitivity pattern discovery in large, paired multiomic datasets.
Authors: Ghazi AR, Sucipto K, Rahnavard A, Franzosa EA, McIver LJ, Lloyd-Price J, Schwager E, Weingart G, Moon YS, Morgan XC, Waldron L, Huttenhower C.
Bioinformatics
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Design tools for MPRA experiments.
Authors: Ghazi AR, Chen ES, Henke DM, Madan N, Edelstein LC, Shaw CA.
Bioinformatics
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