Senior Research Fellow, Nuffield Department of Population Health
Wearable sensors, machine learning, genomics
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.
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
Doherty A. et al, (2017), Plos one, 12
Willetts M. et al, (2018), Sci rep, 8
Circadian rhythms and mental health: detecting reliable associations via wearable sensing at scale.
Doherty AR., The lancet psychiatry
Doherty AR. et al, (2013), Am j prev med, 44, 320 - 323