Bio
Jack is a second year PhD candidate at the University of Cambridge. His research focuses on continual learning and decentralised graph learning, applying these methods to solving challenges in food security and sustainability.
He obtained a Bachelor's in Computer Science from Keele University, before obtaining a Master's degree in Robotics from the University of Birmingham, and a Master's degree in Robotics and Autonomous Systems from the University of Lincoln.
He is a member of the EPSRC Centre for Doctoral Training in Agri-Food Robotics, and is supported by the James Dyson Foundation. He has previously worked on research projects in nuclear robotics, robot kitchens, and statistical simulations of human neuro-imaging data.
Research interests
Jack's research blends both theoretical and applied aspects of machine learning. His theoretical contributions are focused on decentralised multi-agent collaboration and graph reasoning under uncertainty, as well as contributing a novel continual learning method that reduces catastrophic forgetting in neural networks. The application of his research is ensuring food security and sustainability, helping detect and mitigate risks to the food supply-chain with machine learning techniques.