Summary
Olivia Angelin-bonnet is a statistical scientist with 11 years’ experience applying computational statistics to multi-omics integration, biological network analysis, and reproducible data visualisation. She develops R packages and interactive dashboards that translate complex omics results into actionable insights for research and industry, currently working at the New Zealand Institute for Bioeconomy Science. Her background spans academia and applied research—from a PhD in Biostatistics at Massey University to roles lecturing in statistics and internships developing multi-omics pathway enrichment methods. Olivia combines rigorous methodological work with practical tooling for reproducible science, often focusing on integrative analyses that reveal genotype–phenotype interactions. Based in Palmerston North, she brings cross-disciplinary training from bioinformatics and computational microbiology to bridge statistical theory and life-science applications. A detail that sets her apart is a track record of packaging research into user-friendly R tools and dashboards that streamline collaborative, reproducible workflows.
11 years of coding experience
3 years of employment as a software developer
Echange académique, Echange académique at University of Stavanger
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Massey University
Bioinformatique et modélisation, Bioinformatique et modélisation at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Computational Microbiology and Microbiome-Based Medicine, Computational Microbiology and Microbiome-Based Medicine at Lipari School on Computational Life Sciences