Aiden Doherty

Senior Research Fellow, Nuffield Department of Population Health

Characterising the physical activity phenotype and its health consequences

Aiden Doherty is a senior research fellow at the University of Oxford. His research interest is in the development of computational methods to extract meaningful health information from complex and noisy sensor data in very large health studies. This builds on experience at Microsoft Research, Dublin City University (both in computing departments) and the University of Oxford (population health and biomedical engineering). In 2015 Aiden was one of only three Marie Sklodowska-Curie Actions COFUND Award winners (selected from ~9000 Marie-Curie fellowship holders between ’07-’13) for his contributions to health sensor data analysis.

Awards

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

Key publications

Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity.
Journal article

Doherty AR. et al, (2013), Int J Behav Nutr Phys Act, 10
Wearable cameras in health: the state of the art and future possibilities.
Journal article

Doherty AR. et al, (2013), Am J Prev Med, 44, 320 - 323
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.
Journal article

Doherty A. et al, (2017), PLoS One, 12

Recent publications

Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.
Journal article

Doherty A. et al, (2017), PLoS One, 12
Exploring the opportunities for food and drink purchasing and consumption by teenagers during their journeys between home and school: a feasibility study using a novel method.
Journal article

Cowburn G. et al, (2016), Public Health Nutr, 19, 93 - 103
Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall
Journal article

Gemming L. et al, (2015), British Journal of Nutrition, 113, 284 - 291
Protocol for a pilot randomised controlled trial of an intervention to increase the use of traffic light food labelling in UK shoppers (the FLICC trial).
Journal article

Scarborough P. et al, (2015), Pilot Feasibility Stud, 1
Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot.
Journal article

Kelly P. et al, (2015), PLoS One, 10

More publications