Duncan Palmer is a Senior Statistical Geneticist based in Oxford with a decade of experience applying mathematical and statistical modeling to large, complex genomic datasets. Trained with an MMath from Warwick and a DPhil in Statistics from Oxford, he bridges theoretical methods and biological insight to identify patterns that advance basic research and inform clinical outcomes. His career spans academia and industry—from postdoctoral roles at Broad Institute, MGH and Harvard Medical School to applied work at Genomics plc and leadership at the Big Data Institute—giving him fluency in both exploratory research and translational genomics. Known for interdisciplinary collaboration with mathematicians and biologists, he brings a pragmatic, data-driven approach to solving genetics problems that have real-world clinical impact.
10 years of coding experience
1 year of employment as a software developer
DPhil, Statistics, DPhil, Statistics at University of Oxford
MMath, Mathematics, MMath, Mathematics at University of Warwick
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