Tobi Alegbe is a single-cell data scientist and Mathematical Genomics and Medicine PhD candidate at the Wellcome Sanger Institute and University of Cambridge, with eight years of experience applying computational and experimental techniques to complex biological problems. He focuses on integrating single-cell RNA-seq with human genetics to dissect inflammatory bowel disease, bringing both research rigor from a PhD and practical tooling experience from prior roles. Tobi has held roles across leading bioinformatics organisations including Open Targets and EMBL-EBI, and built reproducible pipelines (snakemake) for GWAS–single-cell integration during his MSc and master’s thesis work. He combines wet-lab insight from early laboratory internships with software and DevOps skills gained at Evaxion and Illumina, enabling end-to-end analysis pipelines that are robust and deployable. Notably, his background spans cellular biology through to production bioinformatics, making him fluent in the language of both biologists and engineers.
8 years of coding experience
2 years of employment as a software developer
Year abroad Biological Sciences with Computer Science, Year abroad Biological Sciences with Computer Science at University of Waterloo
PhD Mathematical Genomics and Medicine, PhD Mathematical Genomics and Medicine at University of Cambridge
MSc Bioinformatics, MSc Bioinformatics at Københavns Universitet - University of Copenhagen
Contributions:1 PR, 6 pushes, 1 branch in 1 year 1 month
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