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  • Student
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
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. 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.
Research Summary

PhD Title:

Unlocking Electronic Health Records for Disease Surveillance and Pandemic Intelligence: Informatics & AI-based approaches


Using COVID-19 as a case study, Chris's work seeks to harness the information contained within national-scale electronic health records for disease surveillance and pandemic intelligence. His work spans informatics and policy, such as linkage and clinical coding standards, through to machine learning tasks such as phenotyping, risk prediction and treatment effect estimation. With a clinical background in Anaesthesia and Intensive Care he is particularly interested in how domain knowledge and uncertainty can be leveraged to learn predictive representations that are both robust and interpretable.

Teaching Summary
  • Supervisor for Dissertation in Health Data Science(CHME0021)
    • Zhiyan Cai ('22-23): Machine learning to quantify the impact of the COVID-19 pandemic on ICU admissions: an interrupted time-series analysis
    • Jiarao Hong ('22-23): Predictive clustering for patient subtyping in routinely-collected ICU data
    • Sydney Casey ('22-23): Supervised machine learning for outcome prediction in routinely-collected ICU data
    • Jiajia Tian ('22-23): Unsupervised machine learning for clustering patient subgroups in routinely-collected ICU data
    • Yipei Guo ('22-23): Semantic Search for Automated Clinical Guideline Identification
    • Dr Evaleen Malgapo ('21-22): Incidence and Prevalence of 232 Physical and Mental Health Conditions before and during the COVID-19 Pandemic, across the 42 Integrated Care Systems in England
  • Supervisor for Research Project in Digital Health (GBSH0008), UCL Global Business School for Health
  • Lecturer on Artificial Intelligence in Healthcare Student Selected Component, UCL Medical School
  • Guest lecturer on Health Data Analytics MSc, UCL Institute of Health Informatics
  • Teaching assistant on Clinician Coders course, UCL Academic Careers Office
SEP-2021 – SEP-2021 Data Scientist: Data Study Group   The Alan Turing Institute, United Kingdom
JAN-2021 Visiting Research Data Scientist British Heart Foundation Data Science Centre Health Data Research UK, United Kingdom
SEP-2020 Out of Programme Research (OOPR) Kent, Surrey & Sussex School of Anaesthesia Health Education England, United Kingdom
AUG-2019 – AUG-2020 Anaesthetic Registrar (ST3)   Surrey & Sussex Healthcare NHS Trust, United Kingdom
AUG-2018 – AUG-2019 Anaesthetic Senior House Officer (CT2)   Royal Surrey County Hospital NHS Foundation Trust, United Kingdom
AUG-2017 – AUG-2018 Anaesthetic Senior House Officer (CT1)   Ashford & St Peter's Hospitals NHS Foundation Trust, United Kingdom
AUG-2016 – FEB-2017 Clinical Fellow in Cardiothoracic Intensive Care   Royal Brompton & Harefield NHS Foundation Trust, United Kingdom
AUG-2015 – AUG-2016 Foundation Year 2 Doctor / Senior House Officer Trauma & Orthopaedics, Emergency Medicine, General Practice Western Sussex Hospitals NHS Foundation Trust, United Kingdom
JUL-2014 – AUG-2015 Foundation Year 1 Doctor / House Officer Acute Medicine, General Surgery, General Medicine Royal Surrey NHS Foundation Trust, United Kingdom
MAR-2013 Researcher: Xtreme Everest 2 Centre for Altitude Space and Extreme Environment Medicine Institute for Sport, Exercise and Health, UCL, United Kingdom
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