Department of Engineering / News / Professor Mark Girolami announced as the Sir Kirby Laing Professor of Civil Engineering

Department of Engineering

Professor Mark Girolami announced as the Sir Kirby Laing Professor of Civil Engineering

Professor Mark Girolami announced as the Sir Kirby Laing Professor of Civil Engineering

Professor Mark Girolami

Professor Mark Girolami has been elected to the Sir Kirby Laing Professorship of Civil Engineering within the Department of Engineering. In this role he will provide academic leadership for the Centre for Digital Built Britain across the University and more broadly throughout the national and international research communities.

Mark joins the Centre for Digital Built Britain this week from the Department of Mathematics at Imperial College London, where he holds both the Chair of Statistics and the Lloyds Register Foundation-Royal Academy of Engineering Research Chair in Data Centric Engineering.

He was one of the original founding Executive Directors of The Alan Turing Institute, the UK’s national institute for Data Science and Artificial Intelligence, after which he was appointed as Strategic Director at Turing, where he established and continues to lead the Programme on Data Centric Engineering.

Mark is an elected fellow of the Royal Society of Edinburgh, he was an EPSRC Advanced Research Fellow (2007-2012), an EPSRC Established Career Research Fellow (2012-2018), and a recipient of a Royal Society Wolfson Research Merit Award.

Prior to embarking on an academic career, he spent a decade with IBM as a Chartered Mechanical Engineer working in diverse areas such as high volume manufacturing automation and the exploitation of computational fluid dynamics in electronic systems design.

Mark is recognised for his research contributions that sit at the interface of the Statistical, Mathematical, Physical, Life, and Engineering Sciences. The impact of his research includes successful translation to new products and services for companies and organisations such as, National Cash Registers and Amazon, as well as providing essential data modelling and analysis tools employed the world over by neuroscientists and cellular biologists.

His recent work introducing Riemann Manifold Langevin & Hamiltonian Monte Carlo methods for Statistical Inference was Read before the Royal Statistical Society, receiving the largest number of contributed discussions of a paper in its 183-year history. These Monte Carlo methods are now enabling the quantification of uncertainty in systems and phenomena as diverse as, for example, whole heart models, turbulent combustion, deep learning for artificial intelligence, virus transmission, new material characterisation, and structural health monitoring.

The Centre for Digital Built Britain is a partnership between the Department of Business, Energy & Industrial Strategy and the University of Cambridge to understand how the construction and infrastructure sectors could use a digital approach to better design, build, operate, and integrate the built environment.

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