I am a PhD candidate in computing science at the University of Alberta, part of RLAI and Amii, and supervised by Dale Schuurmans and Marlos C. Machado. Before that, I completed my MSc in statistics at the University of Alberta (supervised by Ivor Cribben and Rohana Karunamuni), and BMath at the University of Waterloo.
My research explores the computational principles underlying adaptive behaviour at the intersection of reinforcement, continual, and meta-learning. I am working to understand the problems and algorithms of an agent that effectively uses its experience to continually adapt its behaviour. For example, how might the problem and algorithm change for agents at different scales, from small and simple to larger and more complex?