Bio
Dr Antonella Delmestri is the data science lead for observational research at the Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford. Antonella studied Computer Science at the University of Udine (Italy) and obtained a PhD in Information and Communication Technologies at the University of Trento (Italy). After several years of developing firmware and software for electronic devices, in 2006 Antonella moved to the UK to join the Clinical Trial Service Unit (CTSU) at the University of Oxford. She joined NDORMS in 2013 and the Centre for Statistics in Medicine in 2019. In the same year she also embraced the European Health Data and Evidence Network (EHDEN) collaboration and the Observational Health Data Sciences and Informatics (OHDSI) international initiative. Antonella is a member of the Women in data science (WIDS) Oxford initiative and an advisor in the WiDS Oxford Committee.
Research interests
Antonella Delmestri’s research focuses on real-world data (RWD) sources and their automated processing, which involves data engineering, data mining, advanced curation, and common data modelling. Among her contributions there is Curator, a clinical data science tool, which has allowed for the delivery of more than twenty observational studies so far. Antonella is interested in measuring the impact of algorithmic automation on RWD management, its role in the statistical process and its impact on medical research and public health. Related interests are the assessment, measurement, and enhancement of RWD quality, research reusability, consistency, reproducibility, and transparency.