Mark Wright is a transdisciplinary Staff Bioinformatics Scientist with a decade of experience bridging computer science, genetics, statistics, and large-scale production genomics. He combines a PhD in Genetics with a BA in Computer Science and extensive hands-on programming and systems experience to build scalable bioinformatics pipelines, array design tools, and automated QA workflows that materially cut turnaround time and costs. His background spans academia and industry—from developing million-SNP rice arrays and local ancestry ML methods at Cornell and Stanford to productionizing clinical cfDNA and CNV confirmation assays at Karius and Invitae. He has also applied his skills to architect and operate large-scale AI systems for automated trading, demonstrating rare end-to-end expertise in model development, GPU-driven training, and real-time deployment. Known as a reliable problem-solver and cross-discipline translator, he frequently serves as the technical bridge between molecular biologists, statisticians, and infrastructure teams. Based in San Marcos, CA, he enjoys roles that require wearing many hats and turning deep domain knowledge into robust, production-ready solutions.
9 years of coding experience
17 years of employment as a software developer
Ph.D. Genetics and Development, Ph.D. Genetics and Development at Cornell University
RFMIX - Local Ancestry and Admixture Inference Version 2
Contributions:3 commits, 4 pushes, 9 comments in 4 years 11 months
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