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Hailong Meng is a skilled bioinformatics scientist contributing to cutting-edge research in immunology, focusing on leveraging computational methods to understand and improve human health. His work integrates systems immunology and engineering, applying artificial intelligence to advance health outcomes. He possesses significant expertise in bioinformatics analysis, particularly related to adaptive immune receptor repertoire sequencing (AIRR-seq) and single-cell sequencing data. His research involves analyzing immune signatures, studying B cell maturation, and developing bioinformatics workflows for immune repertoire analysis. Hailong has contributed to publications in reputable journals, focusing on topics such as influenza virus vaccination responses and the development of analysis frameworks.
Yale School of Medicine • New Haven, CT
Leads bioinformatics research with a focus on immunology and computational methods.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.