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Samir Rachid Zaim

Supervisor, Biostatistics

teams /
Allenite

Samir is a biostatistician in the Informatics & Computational Biology group at the Allen Institute for Immunology. His work focuses on methods development and analysis of single cell multi-omics immunological data. Samir obtained his PhD in Statistics and Data Science at the University of Arizona and his BA in Mathematics/Statistics at Carleton College. His dissertation work in interpretable and robust machine learning for precision medicine with Dr. Yves Lussier and Dr. Helen Zhang at the Center for Biomedical Informatics Biostatistics Lab (CB2) focused on high-dimensional variable and interaction selection in random forests, methodological considerations for differential gene expression, and experimental and evaluation designs in single-subject studies.

research focus

Samir’s research interest lies at the intersection of statistics, machine learning, and immunology, and he focuses on developing analytical and computational frameworks that will help us better understand the human immune system.

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featured publications

publication / 2024
MOCHA’s advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human cohorts
Nature Communications
publication / 2023
Trimodal single-cell profiling reveals a novel pediatric CD8αα+ T cell subset and broad age-related molecular reprogramming across the T cell compartment
Nature Immunology
publication
Serum Proteomic Signatures Before the Diagnosis of Rheumatoid Arthritis: Evolving Biologic Pathways and Specific Periods of Disease Development
Arthritis & Rheumatology
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