As an undergraduate, Alexander Edmonds attended the University of Toronto as part of the Mathematics Specialist program, where he was enamored with foundations of mathematics: undecidability, sets, hydras. Fate has since led him towards computer science theory and machine learning. Currently, he is completing an MSc at the University of Toronto, under the supervision of Dan Roy, on the subject of the computational complexity of probability distributions and the relevance of various notions of efficient samplability. He also has a keen interest in film noir and biblical apocrypha.
- Foundations of Machine Learning, Spring 2017. Visiting Graduate Student.