I am a Health Data Science research associate and part-time PhD student working in the field of developing digital tools to improve general practice healthcare services. I have been working with Professor Tjeerd van Staa, Professor of e-Health, since I joined the university in March 2022. My research interests lie in how digital knowledge support tools, enhanced by large-scale analyses of routinely collected healthcare data, can be used to optimise the management of complex patients within UK general practice (an increasingly overstreched service). Prior to joining the University of Manchester I was working as a Statistician in a healthcare consultancy firm, performing and leading statistical analyses across a range of projects within charity sectors, the NHS and pharmaceutical companies.

I am working on the NIHR-funded BRIT2 project, which aims to explore whether the use of dashboards and a Knowledge Support System can optimise the prescription of antibiotics in primary care settings. My role has been in co-developing the dashboard content and I will analyse the randomised clinical trial data, the collection of which will be finalised in Q1 2025 (see the protocol: https://doi.org/10.1136/bmjopen-2023-076296).  I am currently working on the expansion of such feedback tools to the setting of polypharmacy and mental health within the NIHR-funded DynAIRx project (https://www.liverpool.ac.uk/dynairx/). I am co-PI on an NIHR funded project to develop a knowledge support tool within self-harm as part of a Programme Development Grant.

I am increasingly interested in the benefit of using a mixture of qualitative and quantitative methods to design digital interventions, and the involvement of patients and members of the public.

Alongside my research role I supervise Kahasse Gebrekidan, a HDRUK-funded PhD student investigating algorithmic bias in the prediction of medication-related harm in polypharmacy patients. I also teach on the UCL-UoM Health Informatics MSc programme, and am developing an introductory R workshop for students and academic staff in maternal and fetal health.