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Caleb Reagor

Postdoctoral fellow

Karolinska Institutet

My research focuses on understanding how dynamic gene regulatory networks control cells’ fate decisions during tissue development and regeneration. This work integrates machine learning and single-cell transcriptomics with lineage tracing and genetic perturbations to dissect biologically relevant sub-networks across embryonic tissues and stem cells. I am also interested in bridging computational predictions with experimental validations to relate cells’ distinct phenotypes with underlying mechanisms of gene regulation.

Interests

  • Gene regulatory networks
  • Single-cell transcriptomics and epigenomics
  • Computational modeling and machine learning
  • Lineage tracing and perturbations
  • Embryonic development

Education

  • PhD in Computational Biology and Medicine, 2024

    The Rockefeller University

  • BSc in Molecular Biology and Applied Mathematics, 2019

    Lipscomb University