I graduated from the University of Bergen, Norway, with a BSc in Physics and an MSc in Experimental Particle Physics in 2014, during which I searched for unseen particles at the ATLAS experiment at CERN, the European Organization for Nuclear Research. Following this I worked as an RA in Particle Physics at MIT for a year, looking at Machine Learning in trigger systems. I moved to Bristol in 2015 and completed a PGCE in Physics at Bristol University in 2016 before I worked within IT data and infrastructure in the Civil Service for 4.5 years. In 2020 I graduated with an MSc in Computing from Cardiff University, for which I used Natural Language Processing (computational methods to investigate language and speech) to investigate how Higher Education Providers communicate with their students on Twitter.
I am now combining my experience of teaching, big data, machine learning and social media as a PhD researcher in the School of Biosciences. I am looking at automatic disease detection in wildlife from image data using Computer Vision (computational methods to investigate images and video) and with Citizen Science.
- Disease ecology
- Computer vision
- Image enhancement
- Citizen and community science
Bridging ecology and technology: Using citizen science and artificial intelligence to track fish health
Current data sources on species distribution and disease status are typically time-consuming, laborious and expensive to build. Although few users of social media share images with the explicit aim of aiding researchers in understanding ecological phenomena, publicly available images and their associated metadata provide a largely untapped passive citizen science source of data that can be used in wildlife monitoring. In my PhD project we will to use artificial intelligence tools to determine fish species, location and disease status, particularly focusing on fungal like growths that are visible by the eye, using social media images from across the UK. In the second phase of the project we will co-create a dedicated citizen science project with angling groups to map fish distribution and health intensively on Welsh rivers, attempting to build an early warning system for freshwater fish disease.
The project is funded by NERC through the GW4 FRESH CDT, and is co-supervised by Dr Sarah Perkins and Prof Jo Cable from Cardiff University School of Biosciences, Prof Christopher Jones from Cardiff University School of Computer Science and Informatics and Dr Jacqueline Christmas from Exeter University College of Engineering, Mathematics and Physical Sciences.