My research focuses on the use of information, analytical approaches and mathematical modelling to support those planning, delivering and evaluating health services. Within this, I have a particular interest in combining quantitative and qualitative operational research methods to improve services that span multiple settings. I enjoy interdisciplinary research and practical applications.

My current projects focus on:

• Identifying plausible means of transformational efficiency gains in home-based healthcare services using operational research techniques for allocating, coordinating, scheduling and routing home visits from healthcare teams
• Collaborating with the optimisation company Satalia to develop and pilot software that enables algorithm-based real-time scheduling and routing of district nurse appointments
• Developing machine learning models to predict admissions from a hospital emergency department in real-time, to support managers improve resource use and service quality
• Using national audit data to explore the impact of non-medical risk factors on late post-operative outcomes for children with complex congenital heart defects
• Linking five national datasets to characterise the trajectories of patients with congenital heart disease through health care services
• Developing risk adjustment methods for the measurement of short-term outcomes following adult congenital heart surgery, and methods for measuring long-term outcomes by diagnoses for sentinel congenital heart conditions using routine data
• Enhancing the impact of operational research in healthcare through better understanding how operational researchers can understand and adapt to the context of their work and collaborate effectively with other disciplines

I have previously worked on projects relating to a variety of areas, including:

• Combining soft and hard operational research methods to help improve services for infants undergoing surgery for congenital heart disease
• Supporting the evaluation of innovation in the health and social care system serving north east London (as part of the NHS England Innovation Test Bed programme)
• Leading a team of embedded researchers at University College London Hospitals in the design and delivery of responsive research across a range of application areas
• Risk modelling in congenital heart surgery
• Modelling concerning the use of bridging technologies in heart transplant programmes
• Evaluating the potential role of pneumococcus vaccination in an influenza pandemic
• Informing public health policy on blood-borne vCJD transmission
• Modelling to inform decisions on the childhood national immunisation programme
• Data analysis and modelling to understand current global provision of skilled birth attendance
• Analysing the effect of cleaning criteria in malnutrition prevalence estimates
• Data analysis concerning new-born care practices in rural south east Asia

For more information about these projects please see: https://www.ucl.ac.uk/clinical-operational-research-unit/research-domains