Holly Houliston is a PhD student in the C-CLEAR Doctoral Training Programme. Her research interests include the use of remote surveying techniques to study marine mammals and the application of artificial intelligence to analyse remote sensing and acoustic data. Her current research uses very high-resolution satellite imagery to study baleen whales from space. She is developing deep learning models to automate the detection of whales in satellite imagery. Her research takes place at the British Antarctic Survey and University of Cambridge under the supervision of Peter Fretwell, Jen Jackson and Carola-Bibiane Schönlieb. Holly is a member of the Wildlife from Space Team, Ecosystems Group and Artificial Intelligence Lab. In addition, Holly works with the Cambridge Image Analysis Group in the Department of Applied Mathematics and Theoretical Physics.

Career

PhD Applied Mathematics, British Antarctic Survey & University of Cambridge (2022-present)

Research Assistant, Minke Whale Acoustics, University of Aberdeen & Scottish Association for Marine Science (2022)

Research Assistant, Blue Economy, Newcastle University (2022)

MSc Wildlife Management, Distinction, Newcastle University (2021)

BSc Zoology, First Class Honours, Newcastle University (2020)

1. Wildlife from Space

   Many populations of wildlife are remote, inaccessible or difficult to monitor. The advent of sub-metre, Very-High-Resolution (VHR) satellite imagery has enabled us study these animals in a much more efficient way.

   Read more of: Wildlife from Space