Shaun Davidson

Dr. Shaun Davidson is a Postdoctoral Research Associate at the Oxford Institute of Biomedical Engineering (IBME), focusing on non-contact physiological monitoring and machine learning for clinical outcomes. His research bridges biomedical engineering, digital health, and critical care technologies.

• Education: PhD and Bachelor’s in Mechanical Engineering from the University of Canterbury, New Zealand
• Prior Roles: Research Fellow at the University of Liège, Belgium

Shaun’s work centers on machine learning-driven vital sign estimation, including blood pressure prediction via photoplethysmogram (PPG) and electrocardiogram (ECG) features, circadian rhythm analysis, and postpartum reference range modeling. Recent publications highlight advancements in non-contact monitoring and critical care diagnostics.

His research intersects multiple domains of digital health, including wearable devices for sleep staging, atrial fibrillation tracking post-ICU, and ambulatory blood pressure systems. Articles frequently address cardiovascular dynamics, physiological modeling, and clinical translation of engineering solutions.