Application Themes

Theme 1: Aquaculture farms in their environment with shellfish

Leaders:

Dr Ross Vennell

Research Directions:

• Automated of monitor of mussel farm structures from imagery gathered from cameras on the farm or on service vessels
• Forecasting Harmful Algal Blooms (HABs) in the Marlborough Sounds

Theme 2: Genomic data analyses to support finfish breeding

Leaders :

Dr Maren Wellenreuther

Research Directions:

• How machine learning models can be used for fish growth with genomic snapper data?
• Can the gut microbiome of snapper predict growth?

Theme 3: Fish performance and health (performance, modelling, diseases, ...)

Leaders :

Dr Jane Symonds

Research Directions:

• A tool for the interpretation of salmon blood test results
• Genetic programming for improving fish health prediction and disease detection
• Predicting salmon health and biomarker discovery
• Streamlining skeletal deformity diagnostics
• Automatic real world biofouling image analysis

Theme 4: VM (high-school, undergraduate, postgraduate coursework, Master/PhD thesis students)

Leaders :

Prof Bing Xue

Research Directions:

• Mini Seminar series to high-school students
• Hackathon
• Data Science Bootcamp
• Mentoring Program