Aiden Doherty

Aiden Doherty is a Professor of Biomedical Informatics and Wellcome Senior Research Fellow at University of Oxford, affiliated with

• Big Data Institute
• Reuben College
• Health Data Research UK
• BHF Centre of Research Excellence
• Sleep and Circadian Neuroscience Institute

His work focuses on analyzing wearable sensor data to understand disease mechanisms.

Research interests include

• Developing machine learning methods for sleep and physical activity analysis
• Identifying genetic variants linked to sensor-derived phenotypes
• Demonstrating causal relationships between physical activity and blood pressure
• Creating wearable camera techniques for behavioral assessment
• Establishing guidelines for mobile devices in clinical trials
• Reproducible analysis methods for large-scale health data

Recent publications reveal trends in

• Accelerometer data processing
• Genomic analysis of activity patterns
• Time-reallocated activity modeling
• Wearable sensor validation
• Causal inference in health behaviors
• Global population health monitoring

Scientific awards include

• Wellcome Senior Research Fellowship
• Marie Sklodowska-Curie Actions COFUND Award
• British Heart Foundation fellowship
• Marie Curie postdoctoral fellowship
• Irish Research Council PhD scholarship

His group at Oxford develops methods for analyzing wearable sensor data at scale, with applications in cardiovascular disease prevention and mental health research. Collaborations include work with the US Food and Drug Administration on mobile clinical trial guidelines.