Jacqueline May is a research scientist and data scientist with nine years of experience applying biostatistics, simulation, and pharmacoeconomic modelling to inform health policy and cost-effectiveness decisions. Currently leading mathematical modelling at UBC’s School of Population and Public Health, she developed a Canadian policy model for bladder cancer during a postdoctoral fellowship at the University of Waterloo. Trained with an MS and PhD in Bioinformatics from the University of Guelph, she blends rigorous computational methods with practical database and programming experience dating back to industry roles. Jacqueline’s work uniquely bridges molecular-scale bioinformatics and population-level health economics, enabling translational insights from complex simulations to policy-relevant recommendations.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at University of Guelph
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Jacqueline May - Research Scientist, Mathematical Modelling