Dan Pagendam
Research Statistician Data Scientist
Greater Brisbane Area Australia
Summary
👤
Senior🎓
Top SchoolDan Pagendam is a Principal Research Scientist and research statistician at CSIRO with over a decade of experience applying statistical and machine learning methods to biosecurity, agriculture and environmental management. He bridges theory and practice by translating client problems into bespoke statistical tools, from optimal experimental design and stochastic process models to Bayesian and nonparametric methods. His work has influenced environmental modelling and monitoring—contributing to soil carbon uncertainty quantification, regolith mapping, and innovations in hydrographic flow estimation—while routinely communicating results through papers, technical reports and stakeholder briefings. Trained with a PhD in Mathematics and Statistics, he brings deep expertise in time-series, applied probability and model-based decision design alongside practical software development for domain-specific models. Notably, his background spans both ecological field-focused studies (e.g., disease spread and vector detection assays) and computational methods for large-scale environmental assessments, giving him a rare mix of hands-on ecological understanding and advanced statistical modelling.
10 years of coding experience
Ph.D., Mathematics and Statistics, Ph.D., Mathematics and Statistics at The University of Queensland
Github Skills (8)
r-package8
odata7
api4
odk4
machine-learning3
keras3
tensorflow2
ropensci1
Programming languages (1)
Github contributions (5)
dpagendam/friedsIndex
Feb 2019 - Jul 2022
Contributions:2 commits, 18 pushes, 1 branch in 3 years 5 months
dpagendam/MRRk
Jul 2019 - Oct 2019
Contributions:10 commits, 10 pushes, 1 branch in 3 months
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