Department of Engineering / Profiles / Mr Jack Foster

Department of Engineering

Mr Jack Foster


Jack Foster

Research Student

Academic Division: Manufacturing and Management


Personal website

Research interests

Jack's research blends both theoretical and applied aspects of machine learning. His theoretical contributions are focused on continual learning for long-term autonomous agents in multi-agent settings as well as novel unlearning methods for robust, privacy-aware models. 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.

Department role and responsibilities