Bolouri Lab


The Bolouri lab is interested in developing and applying computational systems immunology methods to better understand dysregulated immune cell development and differentiation.

Our approach is inherently multi- and cross-disciplinary. We integrate biological and immunological knowledge with data from high-throughput assays using machine-learning, neural networks and other Data Science methods derived from computer science, engineering, mathematics, statistics and physics.

To get a more complete picture of the system of interest, we typically integrate data from diverse assays (e.g. single-cell RNAseq, CITE-seq, single-cell ATAC-seq, flow and mass cytometry, etc.) with patient clinical data and curated data from databases and publications.

Hamid Bolouri
Associate Member

Hamid Bolouri, PhD

Associate Member, Center for Systems Immunology; Principal Investigator, Bolouri Lab; Affiliate Faculty, Division of Human Biology, Fred Hutchinson Cancer Research Center
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