Sam studied Physics (MPhys) at Bath, graduating in 2023. His masters project looked at combining perovskite solar cell modelling with Bayesian Parameter Estimation to inversely derive physical device parameters from experimental cell measurements. Sam has also worked on projects modelling charge-transport in semi-conductor materials, incorporating a machine learning approach to quantify prediction uncertainty. Sam’s interests are applied modelling and its potential intersection with other areas of mathematics. Outside of maths Sam enjoys running, reading and Weetabix Crispy Minis.