I am a Lecturer at the Centre for Intelligent Infrastructure within the Department of Civil and Environmental Engineering. I am interested in computing with imprecision. A number can be imprecisely specified as an interval, a pair of moments, a probability distribution, a set of distributions, and many more. With imprecise computation we can automatically propagate the uncertainty for model verification and make rigorous inference with scarce empirical data for model calibration and validation. These methods are very useful to build trust in simulation for structural reliability and structural-health monitoring. 

I obtained a PhD in risk and uncertainty in 2015 from the University of Liverpool’s Institute for Risk and Uncertainty. I hold a Bachelor and Master of Engineering both cum laude in civil and environmental engineering from the University of Rome, Roma Tre. After the PhD, I was research associate and academic manager at the Centre for Doctoral Training in Risk and Uncertainty of the University of Liverpool for over two years. In 2018 I was appointed research associate for the EPSRC-UKRI Programme Grant on digital twins for improved dynamic design.

Failure probability 

Interval computation 

Statistics for imprecise data 

Probability bounds analysis 

Inference from scarce and imprecise data 

Model calibration and validation with uncertainty 

Code optimisation 

Rigorous integration of ODEs and PDEs 

Computing with imprecise data

Structural engineering theory

Computer programming

Interval computation

Probability theory

Machine learning

I teach third year students about statically indeterminate structures, and fourth year students about the dynamics of single and multi-degree-of-freedom systems. The teaching and assessment material for the dynamics class was developed by Dr Douglas and myself from scratch. Overall, I teach a total of 25 credits, the equivalent of 2.5 semesters.