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Dr

Louise McMillan

Senior Lecturer

School of Mathematics and Statistics

Orcid identifier0000-0002-0536-8563
  • Senior Lecturer
    School of Mathematics and Statistics
  • +6448864497 (Work)

RESEARCH INTERESTS

Much of my current research is on model-based clustering, of categorical data or mixed data types. I work with Ivy Liu, Richard Arnold, Shirley Pledger and Daniel Fernández and one of the core R packages derived from our work can be found at https://github.com/vuw-clustering/clustord

My PhD research is in statistical ecology, specifically population genetics. I have developed new techniques for visualizing genetic assignment data and population differentiation. The methods can be applied to any diploid species, though my focus has been on applications for conservation of endangered species and management of invasive pest species. My R package for genetic data visualization can be found at https://github.com/lfmcmillan/geneplot

RANGAHAU | RESEARCH

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  • PROJECT GRANT
    Stats Revision Game Development
    Te Herenga Waka-Victoria University of Wellington1 Dec 2025 - 28 Feb 2026
    People funded by this grant: McMillan L
    Te Herenga Waka-Victoria University of Wellington
  • PROJECT GRANT
    Unsupervised clustering of complex mixed-type data via a genetic case study
    Royal Society of New Zealand1 Mar 2024 - 29 Feb 2028
    People funded by this grant: McMillan L
    Royal Society of New Zealand