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 modelling for distributed groups of systems – such as turbines in a wind farm or vehicles in a transportation network. He investigates whether population-level analyses can allow machines (or systems) to share information, increasing the value of measured data. In turn, systems with sparse information should automatically borrow (statistical) strength from those that are data-rich.
He is a communications editor for the Data-Centric Engineering journal (Cambridge University Press) and previously worked on statistical tools for the development of structural health monitoring in the Dynamics Research Group at the University of Sheffield.
The Alan Turing Institute
[2021-2023] Research associate, Data-Centric Engineering, The Alan Turing Institute:
Systems-level Digital Twins.
AI for Science and Government (ASG) programme (UKRI/EPSRC).
Supervisor: Prof. Mark Girolami.
University of Sheffield
[2018-2021] Research associate, Dynamics Research Group, University of Sheffield:
Structural Health Monitoring of Systems of Systems: Populations, Networks and Communities.
EPSRC fellowship grant, PI: Prof. Keith Worden.
[2016-2019] PhD in Engineering, University of Sheffield:
Towards Probabilistic and Partially-Supervised Structural Health Monitoring.
First and second supervisors: Dr Nikolaos Dervilis, Prof. Keith Worden.