Dr Chris Tomlinson

Dr Chris Tomlinson

👨‍💻Health Data Scientist |🎓PhD in AI Healthcare |👨‍⚕️Critical Care Doctor


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.

  • Leveraging multi-modal healthcare data: electronic health records (EHR), population data, physiological variables, biomarkers, wearables, pan-omics
  • Defining clinically-relevant EHR phenotypes to unlock routinely-collected healthcare data for research benefit
  • Machine learning & deep learning methods for analysis, prediction and clustering of high-dimensional healthcare data
  • PhD Candidate: Artificial Intelligence enabled healthcare, 2021-2024

    UKRI UCL Centre for Doctoral Training in AI-enabled Healthcare Systems, UCL Institute of Health Informatics

  • MRes Artificial Intelligence enabled healthcare, 2021

    UKRI UCL Centre for Doctoral Training in AI-enabled Healthcare Systems, UCL Institute of Health Informatics

  • Primary Fellowship, 2018

    Royal College of Anaesthetists

  • Dipolma in Medical Care of Catastrophes, 2016

    The Worshipful Society of Apothecaries of London

  • Bachelor of Medicine & Surgery, 2014

    University College London

  • Bachelor of Medical Sciences with Physiology (1st Class Hons), 2011

    University College London


Should you be interested, you can follow my latest updates on Twitter @tomlincr:

Featured Publications

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(2022). Automating perfusion assessment of sublingual microcirculation in critical illness.


(2022). COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records. Lancet Digital Health.

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(2022). Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort. Heart.

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(2022). Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19. SSRN.

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(2022). The adverse impact of COVID-19 pandemic on cardiovascular disease prevention and management in England, Scotland and Wales: A population-scale descriptive analysis of trends in medication data. medRxiv.

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