Rachael Laidlaw is a PhD student in artificial intelligence at University of Bristol, UK. Her research focuses on ecological applications of computer vision – in particular, using transfer-learning approaches in order to fine-tune classification models for the automatic detection and monitoring of data-deficient animal species from camera-trap images taken in the wild. She graduated with distinction from the MSc Statistics course at University of Leeds, UK, in 2022, after obtaining a first-class joint-honours undergraduate degree in Mathematics and German from Lancaster University, UK.
Whilst based on-site at the Φ-Lab, Rachael is working on extracting environmental insights at scale from satellite imagery in the marine domain. She is interested in AI-assisted conservation of nature and uncovering new information about the animal world through the effective utilisation of freely accessible data.
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