Sean is a third year PhD student in Operations Research and Information Engineering at Cornell University advised by Christina Yu and Siddhartha Banerjee. His current work is on exploiting structure in continuous reinforcement learning problems, tensor completion, and sequential dynamic and fair allocation of resources.
Prior to Cornell, Sean completed his BSc at McGill University studying Mathematics and Computer Science, and worked for two and half years teaching in rural Ghana with the Peace Corps.
- Theory of Reinforcement Learning, Fall 2020. Visiting Graduate Student.