London Underground: Improving asset performance through data science

Speakers: Ben Cooper & Emma Beynon
London Underground holds a wealth of data on it’s service delivery assets, from when and how an asset has failed, to detailed minute-by-minute monitoring of asset condition. Our aim as data scientists is to leverage this data, along with external datasets where relevant, to deliver asset performance improvement, and ideally cost savings. We will present some examples of our work to date, and our plans for the future.

Bio: Ben Cooper, obtained a PhD in Particle Physics in 2006 from UCL and went on to spend nearly ten years as a physicist on the ATLAS experiment at the Large Hadron Collider, before joining London Underground as a data scientist in 2015.

Bio: Emma Beynon, obtained a PhD in Cosmology in 2012 from the University of Portsmouth and went on to publish numerous papers on Gravitational Lensing, before joining TfL as a data scientist in 2015.