Olivia Angelin-bonnet
Statistical Scientist
Palmerston North, Manawatū-Whanganui, New Zealand
Summary
👤
Senior🎓
Top SchoolOlivia 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 StavangerDoctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Massey UniversityBioinformatique et modélisation, Bioinformatique et modélisation at INSA Lyon - Institut National des Sciences Appliquées de LyonComputational Microbiology and Microbiome-Based Medicine, Computational Microbiology and Microbiome-Based Medicine at Lipari School on Computational Life Sciences
Github Skills (36)
gwas9
differential-expression9
bioconductor8
factor-analysis8
r-package8
genomics-visualization7
genomics7
systems-biology6
monte-carlo6
factor6
interval-arithmetic6
stochastic6
r5
simulation4
simulation-framework4
Programming languages (6)
Github contributions (5)
PlantandFoodResearch/hidecan
Sep 2022 - Mar 2023
Package to create hidecan plots for GWAS and differential expression results
Contributions:1 release, 37 commits, 24 PRs in 6 months
differential-expressiondifferentialplotsgwas
oliviaAB/sismonr
Sep 2018 - Jun 2022
sismonr - Simulation of In Silico Multi-Omic Networks R package
Contributions:3 releases, 236 commits, 2 PRs in 3 years 9 months
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