Dr George De Ath
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.
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.
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.