Graham Mcvicker is an Associate Professor at the Salk Institute with 13 years of experience at the intersection of genomics, chromatin biology, and computational method development. His lab uses natural human genetic variation to map how sequence elements and nuclear factors encode cell-type specific chromatin organization and to uncover regulatory variation that shapes immune function and disease risk. Trained as a computational genomicist (PhD, University of Washington) with early software development roles at EBI and UBC, he brings uncommon depth in scalable bioinformatics, statistical signal extraction, and software engineering to wet-lab questions. Graham’s work uniquely blends algorithm design and experimental genetics to detect subtle regulatory effects from noisy datasets, translating molecular evolution insights into functional genomics discoveries. Based in California, he combines academic leadership with hands-on tool development that supports reproducible, high-throughput chromatin analysis.
13 years of coding experience
10 years of employment as a software developer
Ph.D., Genome Sciences, Ph.D., Genome Sciences at University of Washington
B.Sc., Computer Science, B.Sc., Computer Science at The University of British Columbia
WASP: allele-specific pipeline for unbiased read mapping and molecular QTL discovery
Contributions:16 PRs, 216 pushes, 1 branch in 6 years 1 month
qtlpipelinepython-bindingsmoleculardiscovery
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