Department of Engineering / Profiles / Professor Mark Girolami

Department of Engineering

Professor Mark Girolami


Mark Girolami

Sir Kirby Laing Professor of Civil Engineering

Academic Division: Civil Engineering


Personal website

Research interests

My publication list can be obtained from the group website at and broader activity at the Alan Turing Insititute can be found here

Computational Statistics, Mathematical Statistical Methodology, Bayesian Statistical Methodology, Statistical Approaches to Numerical Methods, Applications of Probabilistic, Stochastic and Statistical Modeling in the Engineering and Natural Sciences

Research projects

Data Centric Engineering 

Computational Statistical Inference for Engineering and Security

Sematic Information Pursuit for Multimodal Data Analysis

Inference, Computation and Numerics for Insights into Cities

Digital Twin of 3-D Printed Stainless Steel Pedestrian Bridge A collaboration with MX3D 

EPSRC funded research

Teaching activity

A First Course in Machine Learning  Textbook from Amazon

Course Leader

3M1 - Mathematical Methods

4M24 - Computational Statistics and Machine Learning

Research opportunities

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 students 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 led the Lloyd’s Register Foundation Programme on Data Centric Engineering. Since October 2021 he serves as the Chief Scientist of the Alan Turing Institute.

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.

In 2020 Professor Girolami delivered the BCS and IET Turing Talk in London, Manchester, and Belfast.

Professor Girolami currently serves as the Editor-in-Chief of Statistics and Computing and the new open access journal Data Centric Engineering published by Cambridge University Press.

Department role and responsibilities

Academic Director of the Centre for Smart Infrastructure and Construction