Lawrence Bull

Lawrence is a Research Associate at The Alan Turing Institute in the Data-Centric Engineering programme, affiliated with the Computational Statistics and Machine Learning Group at the University of Cambridge. His research develops collaborative modelling procedures for distributed groups of systems – such as turbines in a wind farm, or vehicles in a transportation network. The shift to population-level analyses is essential since it allows machines (or systems) to share information - increasing the value of measured data. In turn, Digital Twins can be learnt collaboratively, and engineering fleets can pool their resources, enabling performance and efficiency greater than the sum of their constituent parts.