Cutting-edge quantitative solutions to hard ocean science problems
Conditioning of operating models, developing canadidate management procedures and curation of MSE processes.
Specifying fisheries dynamics models, deriving population parameters and fitting models to a wide range of fishery data types.
Our experience includes innovative new models for unique fisheries including complex spatial modelling, seasonal dynamics and novel mark-recapture analyses.
The developers of the Data Limited Methods toolkit (DLMtool) and the Methods Evaluation and Risk Assessment (MERA) platform, we have extensive experience designing and testings management procedures for data-limited and data-moderate fisheries.
We have extensive experience in fast and flexible estimation frameworks using these to fit fishery models, optimize management plans and find complex spatial solutions to multispecies management problems.
A complex as analyses can be, it is often important that these are accessible to a wider, non-technical audience. We have developed user-friendly R Shiny Apps for a wide range of software including MERA (www.merafish.org) and the MSE frameworks for Atlantic swordfish and bluefin tuna.
Production of state-of-the-art automated and interactive html documents using the latest R libraries.
With over 15 years of experience in the peer-review of stock assessments we can provide in-depth review of data and modelling used to characterize fisheries.
For unstructured regression problems and time series analysis we can offer contemporary machine learning solutions using the Tensorflow and Keras libraries for the training of ANNs including recursive and convoluted NNs.
From an academic background, we have been teaching fishery concepts and analysis for more than 15 years including data-limited fishery methodologies, meta-analystic approaches, Bayesian statistical analysis, fishery population dynamics modelling and mark-recapture analysis.
Is there something else we can help you with? We have talented scientists available with broad experience and quantitative skill-sets.
Since completing his PhD at Imperial College London, Tom has more than 15 years of experience in the design and peer-review of fishery dynamics models and MSE frameworks. More recently he has developed indicators of changing fisheries, AI fishery managers and fishery management plans for multispecies fisheries.
Adrian is the lead developer of the Data-Limited Methods toolkit (DLMtool) and has extensive experience implementing MSE frameworks for species in the full spectrum of data-poor to data-rich. He is an expert in length-based assessment approaches and more recently took the lead technical role in the development of managements plans for six near shore stocks in California.
Quang is the lead developer of the Management Strategy Evaluation toolkit (MSEtool) an open source R package for doing state of the art MSE for data-rich stocks. He is currently developing MSE frameworks for Atlantic herring in the Bay of Fundy and Strait of Georgia yelloweye rock fish.