Chris Tomlinson

Chris Tomlinson

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


Chris Tomlinson is an Anaesthetics & Intensive Care registrar undertaking a 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 he uses 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).

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

  • Phenomics: Defining clinically-relevant EHR phenotypes to unlock routinely-collected healthcare data for research benefit
  • Representation learning: building predictive representations that codify both domain knowledge and data-driven insights
  • Uncertainty quantification: for clinical evaluation and scientific discovery
  • Causal inference: for evidence generation from routinely-collected observational 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

  • MRCA (Primary Fellowship), 2018

    Royal College of Anaesthetists

  • Diploma 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:


Chris enjoys productive collaborations spanning computer science, health informatics and clinical medicine across UCL institutions, other universities within the UK and abroad as well as organisations such as Health Data Research UK, British Heart Foundation Data Science Centre, The Alan Turing Institute and Wellcome Trust.

He strongly believes in the value of multidisciplinary collaboration for delivering responsible innovation and impacts, particularly in complex areas such as healthcare and biomedicine, as well as relishing the learning opportunities that this provides.

This ethos is reflected in a wide range of co-authors, as visualised in the interactive network diagram below: