Food and Agritech
From improving agrichemical performance to modelling the chemistries of confectioneries, our techniques can help the food and agritech industries improve product design.
CASE STUDIES
Machine learning in whisky identification and verification
We worked with the Scotch Whisky Research Institute (SWRI) using data analytics to tackle counterfeiting across the sector.
Understanding drug toxicity through gene expression
We worked with Syngenta – a leading agricultural and biotechnology company – to design bioinformatics tools for high throughput screening of candidate compounds.
Using data analytics to understand our gut microbiome
We worked with the Quadram Institute – a food and health research centre – to design and optimise bioinformatics tools for understanding large genetic datasets.
Understanding soil health through the lens of its microbiome
We worked with IBM Research and established agricultural research centre Rothamsted Research to understand how soil microbiomes can shape soil health.