Kyle Gaulton is an Assistant Professor and computational molecular geneticist at UCSD with nine years of independent research leadership using human genetic variation to dissect mechanisms of complex diseases, especially type 1 and type 2 diabetes. His lab combines computational genomics and functional assays to map how risk variants alter chromatin accessibility, transcription factor binding and gene regulation. Trained at UPenn, UNC and Oxford, he brings deep expertise in both wet-lab biology and bioinformatics, bridging statistical genetics with mechanistic follow-up. He maintains lab-developed computational tools on GitHub to support reproducible analysis of regulatory variation, reflecting a commitment to open science. Based in San Diego, he has a track record of translating population-scale genetic signals into testable molecular hypotheses.
Repository of pipelines related to epigenomic and genetic analyses
Contributions:2 PRs, 44 pushes, 1 branch in 9 days
pipelineanalysesgeneticbioinformaticspipelines
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