Stock assessment
Age- and length-structured population models, CPUE analysis, data preparation, and assessment of data-rich and low-information stocks.
Quantitative fisheries science
Statistical methods, assessment models, and practical decision tools for sustainable fisheries and marine ecosystems.
Project areas
My work connects data, statistical modelling, and fisheries management. Projects range from focused analyses to full stock assessments, management strategy evaluation, ecological risk assessment, and the software needed to make complex science useful.
Age- and length-structured population models, CPUE analysis, data preparation, and assessment of data-rich and low-information stocks.
Simulation testing of harvest strategies and operational management procedures under uncertainty.
Spatial assessment of fishing and other threats to protected species, translating complex evidence into clear measures of risk.
Purpose-built statistical models, reproducible workflows, data products, and interfaces for analysts and decision-makers.
Selected outcomes
Three examples of Quantifish turning complex data and modelling problems into practical capability for assessment, management, and conservation.
International stock assessment
Ecological risk assessment
Domestic stock assessment
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