Dan Skelly is a Senior Computational Scientist with 11 years of experience applying single-cell functional genomics and quantitative genetics to dissect the genetic basis of complex traits. Based at The Jackson Laboratory, he leads computational efforts that integrate genetically diverse populations to uncover mechanisms relevant to cancer, cardiovascular disease, diabetes, and obesity. Trained with a PhD from the University of Washington School of Medicine and a BS from UW–Madison, he brings deep statistical genetics expertise to experimental and translational projects. His work blends rigorous postdoctoral pedigree from Duke with hands-on development of analyses and pipelines that scale to single-cell datasets. Colleagues rely on him for turning complex genomic signals into testable biological hypotheses and reproducible computational workflows. He is based in Bar Harbor, Maine, and often leverages population diversity as a deliberate strategy to reveal biology that standard cohorts miss.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Washington - School of Medicine
Contributions:20 commits, 13 pushes in 3 years 3 months
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