Skip to content
HDR UK
  • Visit the Gateway
  • Visit the Alliance
  • Visit HDR UK Futures
Follow us on social media
  • About
    • What We Do
    • Who We Are
    • Quinquennial Review
    • HDR UK Annual Prizes
    • Involving and engaging patients and the public
    • Our Policies
    • Our Strategy
    • Our Annual Reports
    • Subscribe to our Mailing List
    • Job Vacancies
    • Our Locations
  • Advancing Health Research
    • Research Publications
    • Research Projects
    • Research Case Studies
    • National Projects
    • Our Scientific Priorities
    • COVID-19
    • International COVID-19 Data Alliance (ICODA)
    • Funding Opportunities
  • Access Health Data
    • UK Health Data Research Alliance
    • Discover Data on the Gateway
    • Trusted Research Environments
    • Data Use Registers
    • Open Science and Open Code
    • DARE UK (Data and Analytics Research Environments UK)
  • Helping with Health Data
    • Health Data Research Hubs
    • BHF Data Science Centre
    • Population Research UK
    • HDR Global
    • Data Saves Lives: Mental Health
  • Careers and Training
    • Postgraduate Education and Apprenticeships
    • Internships
    • CPD and Training
    • Health Data Research Futures
    • Science Community and Partners
    • Technical Careers
  • News, Opinion and Events
    • News
    • Opinion
    • Events
  • Visit the Gateway
  • Visit the Alliance
  • Visit HDR UK Futures
Follow us on social media
  1. Home |
  2. People
Person

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.

Image of chris-tomlinson

Share this page

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...

HDR UK
Follow us on social media
  • Contact us
  • Subscribe to our mailing list
  • Register of Interests
  • Frequently Asked Questions
  • Job Vacancies
  • Terms and Conditions
  • Privacy Policy
  • Cookies
  • Registered charity number 1194431
©HDR UK 2023. All rights reserved. |  Design and development by Soapbox