Michael Shaffer is a bioinformatics scientist with 11 years of experience translating multi-omics data into actionable insights for drug discovery and global health. He has led and shipped widely used open-source tools (e.g., DRAM and SCNIC) and built reproducible pipelines that processed thousands of samples, enabling discoveries from vaccine response to microbiome-driven target ID. Comfortable in matrixed pharma and academic settings, he combines systems-biology causal modeling, knowledge-graph integration, and hands-on software engineering (Snakemake, PyPI/bioconda distribution, unit testing) to move projects from data to publication. At the Gates Medical Research Institute he now applies that toolkit to preclinical and clinical studies targeting illnesses in low-and-middle-income countries. An often-overlooked strength is his track record of mentoring and managing cross-disciplinary teams while maintaining sole ownership of complex bioinformatics software.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Bioscience, Doctor of Philosophy (PhD), Computational Bioscience at University of Colorado Anschutz Medical Campus
Bachelor of Science (BS), Bioinformatics, Bachelor of Science (BS), Bioinformatics at Loyola University of Chicago
Annotation of Metabolite Origin via Networks: A tool for predicting putative metabolite origins for microbes or between microbes and host with or without metabolomics data
Contributions:70 commits, 6 PRs, 38 pushes in 1 year 5 months
Contributions:134 pushes, 2 branches, 1 comment in 1 year 7 months
kbasedram
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.