SSA ECSSN and NZSA SECS joint webinar: From scripts to R package: Lessons from developing moiraine

The Early Career & Student Statisticians Network (ECSSN) of the Statistical Society of Australia invites you to a joint webinar with the New Zealand Statistical Association's Student and Early Career Statisticians Network (NZSA SECS). The presentation titled "From scripts to R package: lessons from developing moiraine" will be delivered by Olivia Angelin-Bonnet and Lindy Guo.

Date: Monday 20 October 2026

Time: 4:00 pm NZDT / 1:00 pm AEST / 2:00pm AEDT

Format: Online via Zoom. Details provided upon registration

Abstract: From scripts to R package: lessons from developing moiraine

Statisticians often repeat similar analyses across different datasets, copying and tweaking existing code from one project to the next. Over time, this leads to accumulating several near-identical versions of the same code. Turning this code into an R package is one solution for facilitating code reuse, but for researchers without a software development background, this can seem daunting. In this seminar, we walk through the process of turning a collection of R scripts into moiraine, an R package for generating reproducible pipelines for multi-omics integration. We will cover our motivation for starting, the tools that supported the process, and the lessons learned along the way.

Presenter Bios

Olivia Angelin-Bonnet

Olivia Angelin-Bonnet completed her PhD in Statistics at Massey University, where she worked on unravelling genotype-to-phenotype relationships from multi-omics data, with a focus on polyploid organisms. After a year as a lecturer in Statistics at Massey University, she is now a Statistical Scientist at Plant & Food Research. Her research interests include Systems Biology, multi-omics data integration, the study of biological networks from a statistical and computational perspective, and the development of visualisation tools for omics data.

Lindy Guo

Lindy Guo is a Statistical Scientist in the Data Science Group at the Bioeconomy Science Institute (formerly Plant & Food Research) in Auckland. Her work spans the breadth of plant science, consumer research, and, increasingly, multi-omics integration. Working alongside domain scientists as the data expert, she leads and contributes to experimental design, methodology development, statistical modelling and data validation.