Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Aiden Doherty

Aiden Doherty

Aiden Doherty

Professor of Biomedical Informatics

  • Wellcome Trust Senior Research Fellow

Wearable sensors, machine learning, genomics

Aiden is a Wellcome Trust Senior Research Fellow and Professor of Biomedical Informatics at the University of Oxford. His research group 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 that are now actively used by researchers worldwide to demonstrate new associations with cardiovascular disease, depression, mood disorders, and others. These have allowed us to show that the lowest risk for cardiovascular disease in the UK Biobank cohort is seen at the highest level of accelerometer-measured physical activity, whether total, moderate-intensity, or vigorous-intensity.

Aiden's group has also developed machine learning methods to identify sleep and functional physical activity behaviours such as walking. In addition, they have discovered the first genetic variants associated with machine-learned sensor phenotypes. This work shows the first genetic evidence that physical activity might causally lower blood pressure.

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. Parties interested in joining his research group are invited to get in touch. 

In 2015, Aiden was one of only three EU Marie Curie Award winners (from ~9000 fellowship holders), selected for his 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”.


2022-27 Wellcome Trust Senior Research Fellowship

2015 Marie Sklodowska-Curie Actions COFUND Award (only 3 selected from ~9000 EU fellows between ’07-’13)

2015-17 British Heart Foundation Centre for Research Excellence intermediate transition fellowship

2010-13 Marie Curie postdoctoral fellowship (E.U. FP7 and Irish Health Research Board)

2005-08 Irish Research Council science PhD scholarship


Video profile for Marie Curie award

No limit to the benefits of exercise in reducing the risk of cardiovascular disease

Doctoral Training Centre Degrees