;
Bio
Andy is a Research Data Scientist in the Turing’s Research Engineering Group.
Before joining the Turing, he worked for a small charity who provide mapping and information management support to humanitarian operations for major international emergencies. Over the years, his roles included everything from fixing the printers to leading teams in post-disaster environments, juggling both the operational and analytical sides of the work.
Prior to that, he completed his PhD at Newcastle University, exploring flood risk in the UK, modelling the rainfall scenarios likely to cause the most widespread and damaging floods.
Projects
Clim Recal
Collection of methods to de-bias climate projection data (sub-component of DyME-CHH but also used as independent codebase)
DyME - Climate, Heat and Health (DyME-CHH)
Use disaggregated climate data to model the health effects of heat exposure in different population groups, based on where they live and how they move
Low Traffic Neighbourhoods tool (LTN)
A software tool and web app to study and communicate about design and impact of LTNs. Dev
Popgetter
Get all the census you need or want using popgetter