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Dr Katie Harron
  • Associate Professor
  • Population, Policy & Practice Dept
  • UCL GOS Institute of Child Health
  • Faculty of Pop Health Sciences

Katie completed her MSc in Statistics and the University of Sheffield and her PhD in Statistics at UCL. She was then awarded a Wellcome Trust Sir Henry Wellcome postdoctoral fellowship, which she undertook at the London School of Hygiene and the Institute of Clinical Evaluative Sciences, Toronto, Canada. 

Katie returned to the UCL GOS Institute of Child Health as an Associate Professor in 2018. 

Katie is a member of Council for the Royal Statistical Society and an associate editor for the Journal of the RSS, Series A. 

Research Themes
Research Summary

Katie’s research falls into two main areas. Her methodological research focuses on the development of statistical methods for data linkage, and particularly for evaluating the quality of linkage. She aims to develop methods to exploit the rich data that are collected about populations as we interact with services throughout our lives. Her work facilitates the wider use of these population-based administrative and electronic data sources for epidemiological research, to support clinical trials, and to inform policy. She is a co-investigator on the Health Data Research UK - London site.

Katie’s applied research focuses on exploiting existing data sources to improve services for mothers and families, and particularly vulnerable families. Her aim is to improve our understanding of the health of individuals from birth to young adulthood. Her current research links data from health, education and social care for the first time at a national level, in order to determine outcomes of an early intervention for first time teenage mothers. Katie is passionate about increasing the public understanding of using administrative data for research. 

Katie's work involves collaborations with a number of key stakeholders for national data, including the Office for National Statistics, NHS Digital, and Public Health England. She is a member of the Confidentiality Advisory Committee, a national regulatory body responsible for overseeing access to identifiable data for research. 

Teaching Summary

Katie is the course leader for the NCRM Introduction to Data Linkage and Analysing Linked Data, and is a lecturer on the UCL Data Science for Research in Health & Biomedicine MSc. She supervises a number of PhD students. 

Academic Background
2014   Doctor of Philosophy University College London
2009   Master of Science University of Sheffield
2007   Bachelor of Arts (Honours) University of Newcastle upon Tyne
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