Stock assessment
Age- and length-structured population models, CPUE analysis, data preparation, and assessment of data-rich and low-information stocks.
See assessment workQuantifish Limited
Science built for decisions, not shelves
Fisheries decisions carry ecological, economic, and social consequences. They need analysis that is technically defensible, transparent about uncertainty, and useful in the real world.
Quantifish works across the full path from raw data to management advice—developing statistical models, testing harvest strategies, assessing ecological risk, and building the software that makes complex science usable.
Core capabilities
Quantitative depth.
Practical outcomes.
Management strategy evaluation
Simulation testing of harvest strategies and operational management procedures under uncertainty.
See management workEcological risk
Spatial assessment of fishing and other threats to protected species, translated into clear measures of risk.
See risk workScientific software
Purpose-built statistical models, reproducible workflows, data products, and interfaces for analysts and decision-makers.
View Quantifish on GitHubHow Quantifish works
Rigorous where it matters. Clear where it counts.
Evidence first
Methods are chosen for the decision and the available evidence—not for novelty alone.
Uncertainty made explicit
Assumptions, trade-offs, and uncertainty are tested and communicated rather than hidden.
Outputs people can use
Models, reports, and tools are designed to support analysts, managers, and decision-makers.
Director & fisheries scientist
Dr Darcy Webber
BSc Biology · MSc Ecology · PhD Statistics
Darcy is a quantitative fisheries scientist with expertise spanning stock assessment, ecological risk, management strategy evaluation, and scientific software development.
His work combines statistical depth with a practical understanding of how scientific advice is used.
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