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.

Interests

• Phenomics: Defining clinically-relevant phenotypes at scale to unlock healthcare data for research & patient benefit
• Representation learning: Harnessing Large Language Models (LLMs) and Graph Neural Networks (GNNs) to build multi-modal, predictive representations that codify both domain knowledge and data-driven insights
• Uncertainty quantification: for clinical evaluation and scientific discovery, through assessing robustness to distributional shift and performance in inductive learning settings
• Causal inference: for evidence generation from observational data and to learn better representations
• Real-world evidence: I prioritise working with routinely-collected healthcare data to ensure my research is of direct relevance to patients, clinicians and policymakers

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
• MRCA: Primary Fellowship of the Royal College of Anaesthetists 2018
  Royal College of Anaesthetists
• DMCC: Diploma in Medical Care of Catastrophes 2016
  The Worshipful Society of Apothecaries of London
• MBBS: Bachelor of Medicine & Surgery 2014
  University College London
• BSc: Bachelor of Medical Sciences with Physiology (1st Class Hons) 2011
  University College London