Peter Joyce

Peter Joyce has a varied work experience. In 2022, they began working as a Machine Learning Scientist at Gaist, where they trained and evaluated deep neural networks for detecting and classifying road defects. Peter also compared the performance of state of the art object detection models and developed self-supervised learning capabilities to improve feature extraction. In 2021, they were a Research Fellow at the National Centre for Earth Observation, where they created a deep learning model framework to identify and quantify methane plumes and constructed an effective architecture to perform segmentation and regression on methane plumes. Peter also presented their work at an international conference and explained their research to experts and laypeople. From 2017 to 2021, they were a PhD Researcher at the University of Leeds, where they analysed large climatological datasets using statistical techniques and constructed deep learning algorithms to be trained on a cloud computing platform. Peter also deployed neural network models on the Google Earth Engine platform and produced simulations of atmospheric CO2 by running a carbon cycle and atmospheric transport model on the University's high performance computing network. In 2016, they were an Undergraduate Science Journal Co-founder and Editor, Treasurer and Peer Assisted Learning Leader at the University of Exeter. In 2014, they were a Squash and Racketball Coach at the Exeter Golf and Country Club, and a Print Room Assistant and Principal Enterprise Consultant Work Experience at the University of Exeter Students' Guild.

Peter Joyce has a background in education that spans from 2006 to 2022. From 2006 to 2013, they attended Downend Comprehensive School. From 2013 to 2017, they attended the University of Exeter, where they obtained a Master's degree in Mathematics. Currently, they are pursuing a Doctor of Philosophy (PhD) at the University of Leeds, focusing on how Northern Ecosystems will respond to Global Environmental Change.