Angus grew up in Scotland before moving to London where he studied for a BSc in Mathematics at Imperial, specialising in statistics in his final year. He then joined Oxford on the MSc in Statistical Science, where he wrote his dissertation on PAC-Bayesian bounds for model selection in probabilistic neural networks. While on the programme, he hopes to develop his knowledge of Bayesian statistics and Bayesian/probabilistic approaches to machine learning. He enjoys working on theory with clear practical applications and hopes his work on the programme can help bridge gaps between theory and applications. In his spare time Angus is a keen road cyclist with aspirations of competing for the university at Varsity, and he has recently taken up playing the bagpipes.
Angus Phillips
