Peter earned his undergraduate degree at the University of Toronto, where he pursued a double major in computer science and statistics. His research focused on sampling and applications of nonstandard analysis in Bayesian nonparametrics. He also took part in internships in software engineering and quantitative finance. Peter’s interests shifted towards machine learning as his studies progressed. On the programme, he plans to work on diffusion models and statistical learning theory, but he is always eager to explore new areas.
Peter is originally from Canada, residing in Niagara-on-the-Lake. In his spare time, he enjoys playing various racquet sports and traveling. He is thrilled about the prospect of discovering more of Britain and Europe in the years ahead.
