Research Fellows
Research Fellow – Consumer Data Research Centre
Postgraduate researchers
Exploring the use of supermarket transaction data as a source of population dietary information (working with a retailer)
Assessing determinants of physical activity using secondary smartphone data (working with Fuell Ltd)
Developing an accessible and effective approach to fatigue detection in commercial drivers. (Working with Fuell Ltd)
Generating a Leeds Geodemographic Classification: Applications in Policy, Commerce and Health (working with Leeds City Council and TransUnionUK
Completed March 2021
now working as a postdoctoral researcher at the University of York
Spatial Data Analytics for Food Safety (working with the Food Standards Agency)
Social and spatial variations in colorectal cancer incidence and mortality in England (working with the Colo-rectal Cancer Intelligence Hub)
Use of Spatial Data to Characterise the Retail Food Environment: Evaluation of Methods
Completed January 2019 now working for herself at:
https://www.highnorth.co.uk/
While I have no studentships available at the moment, if you interested in a PhD in Lifestyle Analytics and want to discuss further, please get in touch.
Data Science Interns
LIDA hosts a prestigious Data Science Intern programme where successful applicants are appointed to a 12 month development position, during which they complete two six month projects. The process is highly competitive to get appointed, but as a supervisor it is exciting to work with talented and ambitious budding data scientists.
2019/20 Cohort in the Nutrition and Lifestyle Analytics team
Healthy choices, healthy lives – Holme Wood, Bradford
Starts her project April 2021
Starts her project April 2021
2019/20 Cohort in the Nutrition and Lifestyle Analytics team
Changes in meat consumption patterns in the UK – investigation using loyalty card data
Understanding public attitude to sharing and linking lifestyle data
Previous interns in the Nutrition and Lifestyle Analytics team
Maria is now studying for a PhD at the University of Leeds, investigating how to optimise diet with respect to lowering greenhouse gas emissions
The works she completed during her internship is now published: Assessing diet in a university student population: a longitudinal food card transaction data approach
Rebecca is now studying for a PhD in mathematics at the University of Surrey. Her intern project compared traditional survival analysis methods with machine learning algorithms investigating the impact of weight status on breast cancer incidence.
Tom is now working as an Actuarial Associate.
During his internship he contributed to important scoping work and developed spatial microsimulation models for nutrition and health data – published in book chapter: Using census data in microsimulation modelling (2018). Birkin M, Morris MA, Birkin TM and Lovelace R. The Routledge Handbook of Census Resources, Methods and Applications. John Stillwell and Oliver Duke-Williams (eds).
Nutrition and Lifestyle Analytics for Health 