Sir Kirby Laing Professor of Civil Engineering
Academic Division: Civil Engineering
My publication list can be obtained from the group website at https://csml-cam.github.io and broader activity at the Alan Turing Insititute can be found here https://www.turing.ac.uk/research/research-programmes/data-centric-engin...
Mathematical Statistical Methodology
Fine Dining a la Michelin Star Restaurants
Bayesian Statistical Methodology
Statistical Approaches to Numerical Methods
Applications of Probabilistic, Stochastic and Statistical Modeling in the Engineering and Natural Sciences
Digital Twin of 3-D Printed Stainless Steel Pedestrian Bridge A collaboration with MX3D
Course Leader in 3M1 - Mathematical Methods and 4M24 - Computational Statistics and Machine Learning
There are always many opportunities to join a vibrant research team at either the undergraduate, postgraduate or doctoral levels. If you are curiosity led, ambitious, driven, and passionate about research then I am always enthusiastic to speak with you. Or even better come and speak to the team of post-docs, PhD stduents and academic faculty that work with me.
Mark Girolami is a Computational Statistician having ten years experience as a Chartered Engineer within IBM. In March 2019 he was elected to the Sir Kirby Laing Professorship of Civil Engineering (1965) within the Department of Engineering at the University of Cambridge where he also holds the Royal Academy of Engineering Research Chair in Data Centric Engineering. Girolami takes up the Sir Kirby Laing Chair upon the retirement of Professor Lord Robert Mair. Professor Girolami is a fellow of Christ’s College Cambridge.
Prior to joining the University of Cambridge Professor Girolami held the Chair of Statistics in the Department of Mathematics at Imperial College London. 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 Programme Director at Turing, where he established and continues to lead the Lloyd’s Register FoundationProgramme on Data Centric Engineering.
Professor Girolami 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.
He delivered the IMS Medallion Lecture at the Joint Statistical Meeting 2017, and the Bernoulli Society Forum Lecture at the European Meeting of Statisticians 2017.
Department role and responsibilities