Paul Wambo is a bioinformatician with 10 years of experience applying machine learning, statistics, and software engineering to genomics, spatial omics, and tumor biology. He builds scalable, containerized pipelines (Snakemake, Docker/Singularity, SLURM) and interactive visualizations to accelerate translational research and drug discovery, having contributed pipeline automation at The Neuro and OICR and ML-driven peptide design at Menten AI. Comfortable across Python and R stacks, Paul combines production-grade workflow engineering with hands-on modeling—from single-cell and spatial transcriptomics to de novo molecule generation and toxicity prediction. He’s adept at translating complex biological problems into reproducible, user-friendly tools for collaborators, and has a track record of integrating ML/quantum approaches into therapeutic design. Based in Toronto, he brings both academic rigor (MSc in Bioinformatics) and industry-focused execution to cross-disciplinary teams.
10 years of coding experience
8 years of employment as a software developer
Algonquin College
Introduction to Spatial 'Omics - VisiumHD, Biomathematics, Bioinformatics, and Computational Biology, Introduction to Spatial 'Omics - VisiumHD, Biomathematics, Bioinformatics, and Computational Biology at Canadian Bioinformatics Workshops
Master of Science - MS, Biology - Bioinformatics, Master of Science - MS, Biology - Bioinformatics at University of Ottawa
Contributions:15 pushes, 2 branches in 4 years 9 months
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