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Chris Tomlinson

Anaesthetics registrar and PhD student in AI enabled healthcare at University College London (UCL)

I am an Anaesthetics & Intensive Care registrar undertaking a combined MRes/PhD at the UKRI UCL Centre for Doctoral Training in AI-enabled Healthcare Systems.

Combining technical expertise in epidemiology, data science and machine/deep learning with an extensive background in clinical medicine and physiological research I use real world evidence to uncover new insights of critical relevance to patients, clinicians and policymakers. Most recently this has involved creating novel COVID-19 phenotypes from linked-EHR data of 57 million individuals in England (now published in Lancet Digital Health).

I am interested in the application of AI methodologies to disentangle the complex interactions between organ systems, individuals and healthcare systems to advance our scientific understanding and translate knowledge into tangible benefits to patient care.

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External organisations
University College London (UCL)
Selected work
Abstract data image with heart design
Opinion

The Data Science Behind the Headline: Unpicking the impact of COVID-19 from the UK’s largest datasets

24 August 2022

We speak to Chris Tomlinson and Johan Thygesen about their latest paper, what it’s like to handle data from over 57 million people, and what they think the future of health data research will...

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