Dr Lesley Smith
- Position: Associate Professor of Health Data Science
- Areas of expertise: cancer epidemiology; medical statistics; data science
- Email: L.F.Smith@leeds.ac.uk
- Location: Level 10 Worsley Building
- Website: Googlescholar | ORCID
Profile
I am an Associate Professor of Health Data Science in the Cancer Division at the Leeds Institute of Clinical Trials Research. I joined LICTR as Senior Research Fellow in June 2023. I lead the Data Science portfolio with the LICTR Cancer Division which focusses on developing and validating clinical prediction models and integrating routine healthcare systems data into clinical trials.
I joined the University of Leeds in 2015 as a senior statistician and completed a PhD in 2020 investigating cure and long-term outcomes for children and young adults diagnosed with cancer. Prior to this I was the senior statistician on the Born in Bradford birth cohort study and worked at the Northern and Yorkshire Cancer Registry and Information Service (NYCRIS).
Research interests
I have a background in medical statistics and cancer epidemiology and expertise in working with linked routine healthcare systems data for research. I have extensive experience in research based on large scale, complex electronic health record data, including primary and secondary care data, hospital laboratory data, cancer registrations and clinical trials. I am interested in the development, validation and implementation of clinical prediction and prognostic models and the use of routinely collected healthcare systems data in cancer clinical trials.
Qualifications
- MSc Medical Statistics
- BSc Mathematics and Statistics
- PhD Cancer Epidemiology
Professional memberships
- Member of the Society for Social Medicine and Population Health
- AFHEA
Student education
I am the Deputy Programme Lead and Module Lead for the “Analytic Research” module on the Postgraduate Programme in Health Research.
Research groups and institutes
- Cancer
- Leeds CRUK Clinical Trials Centre
- Leeds Institute of Clinical Trials Research