Aiden Doherty is an Associate Professor at the Nuffield Department of Population Health and leads Health Data Research UK’s national implementation project on reproducible machine learning. His research group at Oxford develops reproducible methods to analyse wearable sensor data in very large health studies to better understand the causes and consequences of disease. For example, they have developed methods to objectively measure physical activity in UK Biobank which are now actively used by researchers worldwide to demonstrate new associations with cardiovascular disease, depression, mood disorders, and others.
Aiden’s group has also conducted research on wearable cameras, and are interested in other wearable sensors that can help better understand the causes and consequences of disease. In 2015 Aiden was one of only three Marie Curie Award winners (from ~9000 fellowship holders) for contributions to health sensor data analysis. He has also contributed to the creation of guidelines on the use of mobile devices in clinical trials, in collaboration with the US Food and Drug Administration (FDA) supported Clinical Trials Transformation Initiative on “Mobile Clinical Trials”.