Dr Chris Tomlinson

Dr Chris Tomlinson

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

Biography

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 56.6 million individuals in England.

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.

Interests
  • 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
Education
  • 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

Featured Publications

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(2021). Association of COVID-19 with arterial and venous vascular diseases: a population-wide cohort study of 48 million adults in England and Wales. medRxiv.

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(2021). Understanding COVID-19 trajectories from a nationwide linked electronic health record cohort of 56 million people: phenotypes, severity, waves & vaccination. medRxiv.

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(2021). Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis. JRSM.

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(2021). Prevalence of PErioperAtive CHildhood obesitY in children undergoing general anaesthesia in the UK: a prospective, multicentre, observational cohort study. BJA.

DOI

(2021). Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort. medRxiv.

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