Jordan Bryan is an Assistant Professor and quantitative researcher with 11 years of experience bridging statistics, computational biology, and interdisciplinary collaboration to tackle large, complex problems. Trained at Stanford (BS Mathematics) and Duke (PhD Statistics), he progressed from computational roles at the Broad Institute to a PhD and postdoc focused on statistically driven biological discovery before moving into academia. His work emphasizes open communication of methods and results to mobilize cross-disciplinary teams and translate statistical insight into actionable research. Based in Durham, NC, he combines deep methodological rigor with practical experience in large-scale biomedical data and prediction challenges. Colleagues describe him as a researcher who prioritizes clarity and integrity, seeking to make public knowledge both usable and extendable by others. An interesting facet of his trajectory is early hands-on exposure to particle physics prediction challenges and international journalism, reflecting a curiosity that spans domains.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Stanford University
Summer Institute for Training in Biostatistics, Summer Institute for Training in Biostatistics at Boston University
Wolfram Summer School
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Duke University
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