Associate Professor Ed Burn’s research is focused on using routinely collected health data to inform medical decision making around patient prognosis and the safety, effectiveness, and cost-effectiveness of medicines and procedures. Ed is currently using a common data model to standardise diverse healthcare datasets, enabling analyses across international data partners without sharing patient-level data. This approach has already delivered insights on topics such as knee replacement practices in the UK and US, and early patterns of COVID-19 hospitalisations across multiple countries.
Ed also leads the Oxford distributed analytics for network research (OxInfer) group that has developed freely available open-source software to support health research.
‘I am honoured to be awarded the title of Associate Professor,’ said Ed. ‘It is a testament to the support I’ve received since joining NDORMS originally as a research assistant, subsequently during my DPhil, and most recently as a postdoctoral researcher. This award reflects as much the work of my colleagues in the Health Data Sciences team and many other collaborators to whom I’m deeply grateful.’
Associate Professor Antonella Delmestri focuses her research on the assessment and evaluation of linked real-world data (RWD) sources, as well as on defining measures to assess the accuracy of RWD modelling and standardisation via common data models used in collaborative observational research to generate clinical evidence. She leads a Data Science group that acts as a Data Partner in the EMA-led DARWIN® EU initiative.
On receiving the title of Associate Professor, Antonella said: ‘I am delighted to have been awarded the title of Associate Professor at the University of Oxford. It is truly meaningful to know that my contribution and expertise are recognised and valued, and I would like to extend my sincere thanks to NDORMS leadership for their support.’
Associate Professor Paula Dhiman focuses on work that improves the design, quality, and integrity of future medical research by advancing statistical methodology research and educating the next generation of researchers. Her research themes are statistical methodology, applied statistics and meta-research, linked by a focus on prediction modelling research. She leads a team of medical statisticians and researchers and is the statistical lead for the Blood and Transplant Research Unit. She is also the Nigel James Junior Research Fellow in Medical Statistics at Pembroke College.
‘I’m very grateful for this recognition and to be appointed Associate Professor. I am very thankful to my family, friends, colleagues, collaborators, and students, whose support has made this possible,’ said Paula.