Dr Fran Pontin
- Position: Senior Research Data Scientist
- Areas of expertise: Spatial Data Science; Food Insecurity; Health Behaviours; Food Environment; Built Environment; Smart Data
- Email: F.L.Pontin@leeds.ac.uk
- Location: Leeds Institute for Data Analytics Level 11, Worsley Building
- Website: LinkedIn | Googlescholar | Researchgate | ORCID
Profile
I am a Senior Research Data Scientist in the Consumer Data Research Centre (CDRC) and module leader in the School of Geography. I am a member of the Institute for Spatial Data Science (ISDS) and sits in Leeds Institute for Data Analytics (LIDA). My research interests focus on characterising and reducing spatial health inequalities utilising secondary ‘smart’ data analysis and the development of open data products to improve the use of data in informing policy decisions.
Research interests
My research interests include spatial health inequalities, food insecurity and the environmental and socio-demographic determinants of physical activity, dietary and wider health behaviours. My research focuses on developing methodologies to utilise secondary ‘smart’ data analysis in spatial health research. My research also includes close collaboration with policy makers and stakeholders to develop open data products. Making data insights accessible to non-technical audiences to aid data driven policy decision making.
Recent research activites include:
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Identifying Determinants and Patterns of Physical Activity Behaviour Using Smartphone Data
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14 November 2023 - Fairness in the food supply chain - Oral evidence,
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Embodying Impact: A Conversation with Early Career Impact Prize Winners
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ESRC Celebrating Impact Prize: Outstanding business and enterprise impact
Qualifications
- PhD, Quantitative Human Geography, University of Leeds, 2022
- MSc. Data Analytics & Society, School of Geography, University of Leeds, 2019
- BSc. Food Science & Nutrition, University of Leeds, 2017
Professional memberships
- Fellow of the Higher Educations Academy (FHEA), University of Leeds, 2021
- The Alan Turing Institute: Novel data linkages for health and wellbeing Special Interest Group
- International Society of Behavioural Nutrition and Physical Activity
- Women in Data
Student education
My teaching focuses on the development of applied programming (Python) and (spatial) data science skills to analyse large social science and secondary datasets I lead education programmes across undergraduate, postgraduate and professional development courses. I also closely work with the LIDA Data Scientist Development Programme and have a keen interest in upskilling and increasing the diversity of the data science workforce.
Research groups and institutes
- Institute for Spatial Data Science