Mike Ford is a bioinformatics founder and computational scientist with a decade of experience building algorithmic solutions and production-grade software for genomics, immunology, oncology, and disease-association studies. He combines a joint Computing Science and Molecular Biology BASc with an algorithms-focused MSc in Computer Science to bridge wet-lab concepts and scalable algorithm design, ML, and statistical analysis. At the National Cancer Institute and in academic roles he led end-to-end projects—designing novel algorithms, implementing reproducible software, running rigorous data analyses, and publishing results. He now runs Confluence Solutions, applying that blend of research rigor and software engineering to deliver reproducible, production-level bioinformatics tools. As a hands-on mentor and team lead, he supervises PhD students and promotes engineering best practices in research environments. Outside work his diverse hobbies inform his relatable communication style, helping him translate complex technical ideas for collaborators and stakeholders.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Simon Fraser University
Genotyping Immunoglobulin Heavy Chain Variable Genes using Short Read Data
Contributions:8 releases, 36 commits, 24 PRs in 2 years 8 months
immunoglobulingenotypingshortbioinformaticschain
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