Antonella Delmestri

I lead a Data Science group, responsible for the modelling and standardisation of real-world data (RWD) routinely collected by GPs, hospitals and registries, and used in observational research to produce clinical evidence. I am a collaborator of EMA-led DARWIN® EU initiative, EHDEN, OHDSI, and an expert in the OMOP common data model. I am an Alan Turing Alumnus and I serve as member of the Turing Research Ethics (TREx) panel.

My research is focussed on:

• assessment, evaluation and curation of RWD
• impact of RWD quality on medical research output
• data modelling and data standardisation of RWD
• measures of similarity/distance between RWD and their standardised versions
• measurement and enhancement of algorithmic complexity in the context of RWD engineering
• research ethics, research quality, reproducibility, consistency and transparency

BIOGRAPHY

I graduated in Computer Science at the University of Udine and completed my PhD in Information and Communication Technologies at the University of Trento (Italy). I have worked for several years for companies developing firmware and software for electronic devices.

In 2006 I moved to the U.K. to join the Clinical Trial Service Unit (CTSU) at Oxford University. In 2013 I joined NDORMS to work in observational research. In 2018 I joined the European Health Data and Evidence Network (EHDEN) collaboration and in 2019 I started leading the OHDSI UK Data Science technical activities. Between 2021-24 I was a Fellow at the Alan Turing Institute. Since 2022 I am a PI Data Partner in the EMA-led DARWIN® EU initiative.