Skip to main content


Photo of Dr George De Ath

Dr George De Ath

Research Fellow


I am a permanent Research Fellow for the Institute for Data Science and Artificial Intelligence (IDSAI) at the University of Exeter. Between 2019 and 2021 I worked as a Postdoctoral Research Fellow on two UKRI-funded projects, RIBA to Reality: Deep Digital Twin to enable Human-Centric Buildings for a Carbon Neutral Future and Rapid Calibration for Operational and Strategic Digital Twins. Prior to this, I obtained my MSci in Computer Science and Mathematics and my Ph.D. in Computer Science, both at the University of Exeter.

My role at IDSAI is split 50/50 such that I spend half my time working on IDSAI Research Awards, which are early-phase interdisciplinary data science and AI research projects, and the other half of my time carrying out my own research.

Research Interests

My main research interests include the optimisation (calibration) of expensive-to-evaluate problems using Bayesian optimisation, as well as more general single- and multi-objective optimisation problems, and solving more general regression/classification problems in machine learning. I have experience in evolutionary optimisation, probabalistic modelling, with a particular focus on Gaussian processes, uncertainty quantification, and general machine learning methods, e.g., (convolutional) neural networks, random forests, support vector machines, etc.

Prospective Students

I am happy to supervise Ph.D. students, particually those with interests in Bayesian optimisation and machine learning using both traditional statistical methods (i.e., Gaussian processes) and deep learning-based methods.