David Merrell is a computational biologist with a PhD in computer science from UW–Madison and a decade of experience applying Bayesian statistics and machine learning to genomics, transcriptomics, and proteomics. He has led bioinformatics for multi-institutional cancer genomics projects at the Broad Institute, running cloud pipelines from alignment to somatic variant calling and discovering clinically relevant omics associations. Currently at Nabsys, he contributes to the bioinformatics stack for Electronic Genome Mapping, bringing both research-grade probabilistic modeling and production-focused pipeline expertise. His dissertation work uniquely fused pathway databases like KEGG and Reactome into priors for probabilistic models, reflecting a knack for embedding biological knowledge into statistical methods. Colleagues describe him as intellectually curious and growth-oriented, equally comfortable collaborating with clinicians as with software engineers.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-Madison
Bachelor of Science, Mathematics, Bachelor of Science, Mathematics at Brigham Young University
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