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Dr Jonathan Davies is a chronic pain researcher working to improve how pain is understood, assessed and treated. His research focuses on pain phenotyping, precision pain care, and the psychological, physiological and contextual factors that shape pain and treatment response.

At UQ’s Centre for Innovation in Pain and Health Research, he contributes to DISCERN, an NHMRC Synergy-funded multidisciplinary research program developing and validating new approaches to pain assessment. A major focus of his work is DECIPHER PAIN, a standardised, multimodal tool designed to characterise the relative contributions of nociceptive, neuropathic and nociplastic pain and support more personalised care.

His research integrates clinical assessment, quantitative sensory testing, experimental pain methods, psychophysiology, digital health and population data. He is particularly interested in how physiological signals, behaviour, language, psychosocial context and real-world health data can be combined to better understand individual differences in pain and treatment outcomes.

His broader expertise includes placebo and nocebo effects, mindfulness, mental health, quality of life, health outcome measurement and population health. His work aims to support more precise, scalable and patient-centred approaches to pain research and care.

I build quantitative systems for understanding how humans move, perform, using data from wearable sensors in real-world conditions.

My work sits at the intersection of machine learning, signal processing, and sports and health science. I develop the analytical infrastructure that makes large-scale, free-living sensor research feasible: pipelines for IMU and GNSS data, predictive models for physical activity and pain dynamics, and validation frameworks for wearable devices.

At UQ, I contribute to the CIPHeR program (NIH/NHMRC-funded), investigating mechanisms of chronic low back pain through longitudinal modelling of movement, sleep, stress, and pain. I also lead Metric Trails, an applied R&D initiative developing high-precision geospatial standards for trail and mountain running.

My background spans academia and industry. Before UQ, I led data science teams at LATAM Airlines and built research programs in wearable analytics and geospatial modelling at Adolfo Ibáñez University in Chile, where I supervised 19 postgraduate theses.

I work across disciplines, with physiotherapists, sports scientists, engineers, and clinicians, and across an international network of collaborators in Australia, Chile, Norway and Spain.