1. Faculty of Environment
  2. School of Food Science and Nutrition
  3. Data Science, Modelling and AI in Food & Nutrition

Data Science, Modelling and AI in Food & Nutrition

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We integrate sensing, data analytics, computational modelling, and artificial intelligence to transform food and nutrition research. These tools enable us to monitor, rationalise, and control complex biological and industrial processes, advancing innovations in food production, consumption, and health outcomes.

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-in

 

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.

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

 

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.