Brad Nelson is a Principal Bioinformatics Engineer with 12+ years blending genomics, machine learning, and cloud-scale engineering to deliver production-ready bioinformatics pipelines and deep learning models. He has driven structural variant discovery in cancer and autism, led metagenomics and carbon-reduction technology efforts, and contributed to high-profile population and structural-variation projects like 1000 Genomes and the Simons initiatives. Comfortable moving research into production, he has built scalable SV simulators, CCN-based models, and successor platforms for metagenomics while authoring work cited nearly 7,000 times across top journals. Based in Bellingham, WA, he pairs domain depth—from Bayesian phylogenetics to proximity-ligation Hi-C QC—with hands-on cloud and HPC implementation. Notably, his career crosses academic rigor and startup velocity, enabling both novel algorithm development and pragmatic productization of genomics solutions.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Biology, Bachelor of Science - BS, Mathematics and Biology at Seattle Pacific University
Master of Science - MS, Biology, General, Master of Science - MS, Biology, General at Louisiana State University
Contributions:2 PRs, 3 pushes, 1 branch in 2 years 7 months
callinggenotypingcnvscalebioinformatics
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