David Pattinson is a computational biologist and Scientist II at the University of Wisconsin–Madison with 11 years of experience applying Bayesian inference, phylogenetics, and high-throughput computing to viral evolution and serological inference. He leads interdisciplinary projects that predict seasonal influenza evolution, map antigenic effects of mutations, and reconstruct infection dynamics from noisy data, with hands-on experience during fast-moving outbreaks such as COVID-19 and bovine H5N1. A Cambridge-trained PhD, he routinely builds custom visualizations and antigenic cartography to reveal insights that standard pipelines miss. Colleagues rely on him to translate complex models into actionable public-health guidance while teaching and mentoring within his research institute.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD Biomathematics, Bioinformatics, and Computational Biology at University of Cambridge
Master's degree Biosystematics, Master's degree Biosystematics at Imperial College London
Contributions:1 release, 5 commits, 2 PRs in 1 year 3 months
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