Blair is a fourth year PhD student in Statistical Sciences at the University of Toronto, advised by Daniel Roy. Blair holds an NSERC Canada Graduate Scholarship and is affiliated with the Vector Institute. His research interests are broadly the theoretical foundations of statistical decision making, with applications to both statistical methodology and machine learning algorithms. He is particularly interested in the role of assumptions for both prediction guarantees and algorithm design.
- Learning and Games, Spring 2022. Visiting Graduate Student.