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Antonella Delmestri

PhD

Associate Professor of Health Data Science

  • EMA-led DARWIN EU® initiative PI data partner
  • EHDEN UK data science technical lead
  • OHDSI OMOP common data model specialist
  • Alan Turing Alumnus
  • CPRD fob holder for NDORMS

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
  • modelling and 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.