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Fran Pontin

ESRC funded PhD student at the Unviersity of Leeds.
Based in Leeds Institute for Data Analytics and the School of Geography and part of the Data Analytics and Society Centre for Doctoral training. My reserach utilises data from smartphone apps to investigate the demographic and geographic determinant of physical activty levels in the UK. 

CV

Associate Fellow of the Higher Education Academy
(2019)

MSc. Data Analytics & Society (Distinction)
University of Leeds (2017-19)

BSc. Food Science & Nutrition (First class)
University of Leeds (2014-17)

Teaching Responsibilities

Research, Evaluation and Special Studies 1 & 2
(Research Skills & Statistics)

Geocomputation and Location Analysis
(R, R Markdown, MapInfo)

Predictive Analytics
(R, NetLogo)

Service Analysis & Planning
(MapInfo, Excel)

Health Data Analytics and Visualisation
(Tableau, ArcGIS, MapInfo)

People, Place and Politics & Urban Living
(MapInfo)

Montpellier Field Trip

Introduction to Python: Data Science Society
(Python)

CDRC: Beginner’s Python for Data Analysis
(Python)

Conference Presentations

"Demographic and geographic determinants of physical activity: findings from a novel dataset"
British Society for Population Studies
Winchester 2018


"Objectively measuring the effect of the built environment on physical activity:
a systematic review and framework"
International Scoiety of Behavioral Nutrition and Physical Activity Annual Meeting
Prague 2019


Physical inactivity; determining the demographic
and geographic factors using smartphone data
International Medical Geography Symposium
Queenstown, NZ 2019

Address

Leeds Institute for Data Analytics
Level 11
Worsley Building
Clarendon Way
Leeds

Contacts

Email: fs14fp@leeds.ac.uk