Paul Melloy
Senior Research Scientist at CSIRO
Brisbane City, Queensland, Australia
Summary
👤
Senior🎓
Top SchoolPaul Melloy is a Senior Research Scientist and agroecological modeller with nine years of post-PhD experience applying mechanistic plant disease models and digital spatial platforms to improve integrated pest management and food security. Based in Brisbane and currently at CSIRO, he builds decision-support tools that translate climate-driven pathogen dynamics into actionable guidance for farmers across landscapes. His work spans mechanistic spore-dispersal models and disease-specific tools (e.g., PowderyMildewMBM, YellowSpotWM) developed during postdoctoral roles, combining field trials, regulatory testing, and diagnostics. Known for bridging lab, field and modelling workflows, he leverages deep plant pathology expertise to make complex epidemiology practical for agricultural outcomes. Notably, his career threads early hands-on diagnostics of Panama disease and long-term contributions to landscape-scale digital platforms, reflecting a rare mix of molecular, field and computational skills.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Plant Pathology/Phytopathology, Doctor of Philosophy (PhD), Plant Pathology/Phytopathology at The University of QueenslandBachelor of Science (B.Sc.), Biochemistry and Molecular Biology, Bachelor of Science (B.Sc.), Biochemistry and Molecular Biology at Griffith University
English, Spanish, French
Github Skills (28)
simulate9
r-package9
stable9
sports-data9
knitr9
rmarkdown9
census8
meteorology8
data-wrangling8
r8
data-visualisation7
spatial6
data-visualization6
weather6
simulation6
Programming languages (2)
Github contributions (5)
PaulMelloy/ascotraceR
Nov 2021 - Sep 2022
This is a clean clone of ascotraceR
Contributions:48 commits, 3 PRs, 12 pushes in 10 months
computer-visionclean
PaulMelloy/epiphytoolR
Oct 2021 - Oct 2022
R Package that contains functions which can be used in modelling epiphytotic risk
Contributions:14 reviews, 196 commits, 22 PRs in 1 year
r-packagemodellingrisk
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