ProjectsContactAbout

Projects

My previous research and work has spanned a variety of domains, including computer vision and machine learning, in-silico simulations of biological systems, fish physiology, immunology, genetics and statistics. While I have a particular interest in the applications of computer vision and artificial intelligence in aquaculture, I am a generalist at heart who enjoys working on a wide range of projects and topics.


I am also experienced in wet lab work, having conducted as well as assisted multiple fish trials throughout my PhD, however, these skills are not neccessarily reflected in the projects listed here. If you are interested in learning more about my wet lab experience, please don't hesitate to reach out to me directly.

Using Computer Vision to Identify Stress Behaviour on Aquaculture Farms

In collaboration with an Australian aquaculture farm, I trained a computer vision model to detect a common stress behaviour in barramundi (Lates calcarifer). This model is part of a full-stack solution for monitoring fish health and welfare on the farm, and is designed with accessibility and human-centered AI (HCAI) principles in mind.

Early Disease Detection using Computer Vision

Trying to determine whether computer vision models can be used to detect disease status in aquaculture-relevant fish from behavioural traits. This project was not built for an industry client, but was part of my PhD thesis and is exploratory in nature at present.

SliM-R Integration (In-silico genetic simulations)

Successful integration of R into SliM to allow for information to be passed and returned within generations, with full HPC support.

The Impact of Thermal Stress on Immunology and Physiology of Barramundi

Determining how the type of cold stress (chronic vs dirunal) affects the immunological and physiological performance of *Lates calcarifer*.

Behavioural Training and Assessment of Optical Performance in Various Reef fish

Extraction of reef fish opsins from sequenced genomes alongside behavioural training of soldierfish, squirrelfish and triggerfish in order to assess visual capabilities.

Compositional Statistics Analysis Repo

Built around the analysis of bloodsmear data, this repository explains how to analyse compositional data appropriately. This repo will accompany a subsequent publication.

FireSting Respirometry Pipeline

A data-processing pipeline for use with FireSting Respirometers.