Toby Boyne

Toby studied Engineering at the University of Cambridge, specialising in Information and Computer Engineering. For his master’s project, he used ordinal Gaussian processes to predict delays in construction projects, developing open-source software and investigating the performance gap between GPs and neural networks.

In collaboration with BASF, he will be employing Bayesian optimisation to solve design of experiment problems. Continuing the work of the Computational Optimisation Group, he will use ensemble tree kernels as a Gaussian prior to perform black-box optimisation, with a focus on providing strong uncertainty measures and implementing an end-to-end training procedure. Outside of his research, Toby likes bouldering and playing board games.

2023

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