Application Themes
Theme 1: Aquaculture farms in their environment with shellfish
Leaders:
![ross.jpg ross.jpg](/foswiki/pub/Groups/DataScienceForAquaculture/SubGroups/igp_fde526da66cc5cd817bcb0e533f1043c_ross.jpg)
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 :
![maren-wellenreuther.jpg maren-wellenreuther.jpg](/foswiki/pub/Groups/DataScienceForAquaculture/SubGroups/igp_3aabeb089acd7bef10db12da996d443c_maren-wellenreuther.jpg)
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 :
![jane.jpg jane.jpg](/foswiki/pub/Groups/DataScienceForAquaculture/SubGroups/igp_cda2ca063e575943b3216111b33775df_jane.jpg)
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 :
Research Directions:
- Mini Seminar series to high-school students
- Hackathon
- Data Science Bootcamp
- Mentoring Program