Gareth has an extensive background in leveraging data in new and novel ways to solve complex problems, improve understanding, and help prioritise resources. He spent four years completing his PhD, with his research focusing on the application of digital twins and machine learning to the problem of arterial disease detection. He then went on to lead the technical efforts in the development of computer vision models that could detect the early signs of coronary artery calcium in CT images.
Since working for Method, Gareth has worked across a range of industries to help companies understand the needs and wants of their customers better, monetise the data they have available to them, and build data strategy road maps that will allow them to do cutting edge analytics as quickly and smoothly as possible.
Gareth lives in Plymouth, on the south coast of England, with his partner and dog. He enjoys being near the sea and exploring the coast around him.