About
Talia is a Research Fellow in the Health Workforce & Systems research group in the School of Health Sciences. She supports the NIHR-funded study led by Dr Christina Saville, which aims to develop a method for measuring demand for nursing staff on hospital wards using routinely collected hospital data.
Her independent research focuses on optimising registered nurses’ shift patterns through wellbeing- and preference-based scheduling in acute wards. Through her PhD, she generated novel insight into the factors influencing nurses’ working time preferences, longitudinal associations between shift work and sickness absence, and approaches for automated staff rostering. Her work combines qualitative and quantitative methods, including thematic analysis, multilevel regression modelling, and combinatorial optimisation modelling.