Data Science, Modelling and AI in Food & Nutrition
Sensing, Simulation and Modelling
We develop sensing and digital technologies to tackle challenges in environmental sustainability, food safety, and health. Our work includes applying machine learning to optimise industrial processes and using computational modelling to explore organic-inorganic interfaces in biological and environmental systems, including biofilms, particles, emulsions, and colloidal interfaces.
Smart Data and Lifestyle Analytics
This theme explores the use of big and geospatial data to understand population-level food and lifestyle behaviours. In partnership with the food industry, we develop digital tools, such as apps and websites, for dietary assessment and management, with a focus on health, sustainability, and food insecurity.
Our people
Our research academics and staff—including research fellows, research associates, and research assistants— all play a vital role in supporting and developing our work in Data Science, Modelling and AI in Food & Nutrition.
Learn more about them and their work and projects.