Dr
Shaun Davidson
BE(Hons) PhD
Postdoctoral Research Associate
Junior Research Fellow
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College: Kellogg College
Location: Institute of Biomedical Engineering
Site: Old Road Campus
Research Building: Old Road Campus Research Building

Dr Shaun Davidson is a biomedical engineer in the Biomedical Signal Processing and Machine Learning (BSP-ML) group and Junior Research Fellow at Kellogg College. He has research experience across institutions in New Zealand, Belgium, and the United Kingdom and a track record of working on translational, collaborative projects with clinicians to benefit patients throughout his research career.

Prior to joining the IBME, Shaun completed his bachelor’s and PhD in Mechanical Engineering at the University of Canterbury, New Zealand, along with two research internships at the University of Liège, Belgium. While at Canterbury, he worked on real-time clinical modelling and devices for mechanical ventilation, cardiovascular monitoring, and management of insulin in the Intensive Care Unit (ICU).

Shaun’s research interests involve developing novel devices and machine learning models for the longitudinal monitoring of individual physiology. His current research at Oxford’s Institute of Biomedical Engineering (IBME) involves the development and validation of novel machine learning methods for wearable sleep staging and the detection of illness. He is particularly passionate about the potential of using wearable sleep monitoring to better track mental health and neurodegenerative disease and titrate care.

Biomedical Signal Processing and Machine Learning (BSP-ML)

  1. Davidson, S, Carter, J, Stanyer, EC, Sharman, R, Roman, C, Kyle, SD, Tarassenko, L (2026). Longitudinal cardiorespiratory wearable sleep staging in the home, Frontiers in Neuroscience, 20, DOI: 10.3389/fnins.2026.1693860
  2. Davidson, S, Sharman, R, Kyle, SD, Tarassenko, L (2025). Is it time to revisit the scoring of Slow Wave (N3) sleep?, Sleep, 48(10), DOI: 10.1093/sleep/zsaf063
  3. Finnegan, E, Davidson, S, Harford, M, Watkinson, P, Tarassenko, L, Villarroel, M (2023). Features from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure, Nature Scientific Reports, 13(1), DOI: 10.1038/s41598-022-27170-2
  4. Finnegan, E, Davidson, S, Harford, M, Jorge, J, Watkinson, P, Young, D, Tarassenko, L, Villarroel, M (2021). Pulse arrival time as a surrogate for blood pressure, Nature Scientific Reports, 11(1), DOI: 10.1038/s41598-021-01358-4
  5. Davidson, S, Villarroel, M, Harford, M, Finnegan, E, Jorge, J, Young, D, Watkinson, P, Tarassenko, L (2021). Day-to-day progression of vital-sign circadian rhythms in the intensive care unit, Critical Care, 25(1), DOI: 10.1186/s13054-021-03574-w
  6. Davidson, S, Villarroel, M, Harford, M, Finnegan, E, Jorge, J, Young, D, Watkinson, P, Tarassenko, L (2020). Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data, Critical Care, 24(1), DOI: 10.1186/s13054-020-02861-2

  • Better Sleep Pump Priming Grant for Comparing Wearable Cardiorespiratory Sleep Staging Against Polysomnogram in the Sleep Lab and at Home, 2025
  • John Fell Award for Are Changes in Sleep Patterns Associated with Psilocybin Efficacy in Treatment-Resistant Depression?, 2025
  • Best Online Poster Presentation, Computers in Cardiology; 13-16 September 2020
  • Science for Technological Innovation (SFTI) Post-Doctoral Fellowship, 2018

  • Module Lead for “Remote Monitoring and Digital Diagnostics”, MSc in Applied Digital Health