RICHARD CULF

Richard is the Chief Data Scientist at Edge Analytics. He is an expert in the design, implementation and commercial deployment of complex spatial modelling techniques. Graduating in 1989 with a first-class degree in Quantitative Geography from the University of Leeds, Richard has over 30 years’ experience in the development of mathematical and statistical models to support planning and policy development, both in the UK and internationally.

Using a combination of software and database expertise, Richard’s portfolio of spatial modelling technologies includes demographic forecasting methods, pupil projection models, real-time optimisation heuristics and spatial interaction models.  He has also been responsible for developing a number of data intelligence products and segmentation systems at the level of postcode, household and the individual.  He is the originator of Edge Analytics’ edge-ucate pupil projection model and also its innovative VICUS macro to micro demographic forecasting technology.     

Prior to Edge Analytics, Richard held key R&D roles at university spin-out company GMAP Ltd, and more recently at a large information services business serving retail, financial services, automotive and utility clients. During his career, Richard has been responsible for training and mentoring a large number of specialists, who can now be found applying their expertise throughout the UK analytics industry.