Application Themes

Theme 1: Aquaculture farms in their environment with shellfish


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