Staff Profiles

Samir Rachid Zaim, Ph.D.

Biostatistician - Research

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 Interests

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.


  • Statistics
  • Machine learning
  • Statistical informatics

Selected Publications View Publications

Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data

International Journal of Medical Informatics
September 14, 2020

Kim AA, Rachid Zaim S, Subbian V

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

BMC Bioinformatics
August 28, 2020

Rachid Zaim S, Kenost C, Berghout J, Chiu W, Wilson L, Zhang HH, Lussier YA

Personalized beyond precision: designing unbiased gold standards to improve single-subject studies of personal genome dynamics from gene products

Journal of Personalized Medicine
December 31, 2020

Rachid Zaim S, Kenost C, Zhang HH, Lussier YA

Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine

BMC Medical Genomics
July 11, 2019

Rachid Zaim S, Kenost C, Berghout J, Vitali F, Zhang HH, Lussier YA