Sam is originally from Stockport and studied for a Master’s in Mathematics at Oxford University. During his degree, he specialised in functional analysis and probability theory and studied applications of optimisation methods to the best-of-both-worlds bandit problem for his master’s dissertation. He also previously studied bandit problems during a research internship at the Oxford Mathematics Department in 2021. As part of the programme, Sam intends to study reinforcement learning theory, while also widening his knowledge of other areas of statistics and machine learning. His first mini-project will be supervised by Patrick Rebeschini and Ciara Pike-Burke and will investigate high-dimensional online/reinforcement learning for low-dimensional structures. In his spare time, Sam enjoys hiking and running, and also playing the guitar and double bass.
Samuel Howard
