Shannon Mcweeney is an Associate Director of Data Science and experienced statistical geneticist with over a decade of work at OHSU and substantial leadership roles spanning Chief Data Officer, division head, and professorship. She develops computational and statistical methods to integrate high-dimensional functional genomics data, with early, influential contributions to scalable sequence-based approaches for transcriptional regulation and chromatin occupancy. Her research portfolio includes pioneering systems genetics studies of infectious disease models, early adoption of RNA-seq for de-novo network inference, and novel precision-medicine methods for therapeutic prioritization. Known for synthesizing ideas across computer science, biostatistics, and genetics, she has repeatedly anticipated technological shifts and built the computational workflows that enabled them. In addition to institutional leadership, she serves on national advisory groups (NHGRI, Jackson Laboratory) and specialty panels (ASCO, ASH), reflecting a blend of deep technical expertise and policy-level influence. Based in Portland, she also maintains a lab presence on GitHub (biodev) that supports her translational bioinformatics work.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistical Genetics, Doctor of Philosophy (Ph.D.) Statistical Genetics at University of California, Berkeley
Universidad Autónoma de Yucatán
Master’s Degree, Master’s Degree at University of Pennsylvania
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