Rosemary Mccloskey is an M.Sc. candidate in bioinformatics at UBC and the BC Centre for Excellence in HIV/AIDS, bringing 12 years of quantitative experience and a stellar academic background in mathematics (B.Sc., 3.98 GPA). Her thesis and accompanying open-source C implementation (netabc) apply Bayesian inference to extract contact-network insights from viral sequence data, blending rigorous statistical thinking with production-ready software. Fast-learning and adaptable, she seeks roles at the intersection of bioinformatics, data science, and software development where mathematical depth and practical coding meet. A detail that sets her apart is the combination of high academic distinction (90% average in her master’s) with hands-on systems work—designing performant Bayesian tools rather than only prototyping models.
12 years of coding experience
Master’s Degree, Bioinformatics, 90% average, Master’s Degree, Bioinformatics, 90% average at The University of British Columbia
Bachelor of Science (B.Sc.), Mathematics, 3.98 GPA, Bachelor of Science (B.Sc.), Mathematics, 3.98 GPA at Simon Fraser University
Fitting contact network models to phylogenies with kernel-ABC
Contributions:2 releases, 2 PRs, 24 pushes in 10 months
kernelfittingbioinformaticsabcnetwork-models
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