Winton Nathan-Roberts

Winton’s current research project is to develop innovative multi-fidelity surrogate models for Bayesian optimisation, which utilise data of varying cost and accuracy to estimate the black-box objective function and constraints by exploiting the correlation between datasets. In doing so, the overall cost to collect the data can be greatly reduced without sacrificing the quality of the solution. He is supervised by Optima CI Prof. Uwe Aickelin, OPTIMA AI Dr Yuan Sun and Dr Ling Luo. His research interests are diverse, spanning machine learning, operations research, stochastic processes and blockchain.

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