Meet the Team

Along with Saye, David provides the team’s strategic leadership. He gives a scientific lead to the development of website content, represents the website team at international conferences and events and helps shape the future development and direction of the resources we produce.

Along with David, Saye provides the team’s strategic leadership. He gives a clinical lead to the development of website content and represents the website team at national and international meetings. He is particularly interested in harnessing the technology of the websites to continuously improve patient care.

Fiona is the responsible lead for assessing drug-drug interactions and predicting interactions using a mechanistic approach where clinical data is as yet unavailable. She draws on her clinical experience of treating HCV patients in Glasgow. Fiona contributes to the overall development and expansion of the website and teaches extensively on HCV related pharmacokinetics, representing the website team at international conferences and meetings.

Alison is an advanced BBV pharmacist and a qualified independent prescriber. Alison uses her clinical knowledge to contribute to the production of drug-drug interaction content for the website.

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Jasmine obtained a BSc (Hons) degree in Pharmacology from the University of Liverpool in 2016 and, after completing a Master degree by research, she joined the website team in August 2017 working mainly on the cancer drug interactions website. In March 2020, Jasmine took up the post of Development Manager for all the websites (HIV, HEP, COVID and Cancer) and is responsible for developing partnerships and projects which support our mission and ethos.

Justin is responsible for finance and analysing the websites’ performance. He also provides general administrative support to all aspects of the team’s activity.

Sara assists with general administration of the Hep website and ensures quality and consistency are maintained across all the Liverpool Drug Interaction Group websites.

Catia supports the prediction of drug-drug interactions where no clinical data is yet available using a mechanistic approach.