Ph.D. student trying to predict control agents that can control predict the world.

I am a Ph.D. student at the University of Alberta, supervised by Prof. Dale Schuurmans in the Computing Science department. Before that, I finished my M.Sc. in statistical machine learning supervised by Ivor Cribben and Rohana Karunamuni in the Mathematical and Statistical Sciences department. Further still, I completed my B.Math at the University of Waterloo in mathematical economics.

I find that the most interesting questions are being asked by both statisticians and computer scientists. As a result, I am most interested in probabilistic methods for deep reinforcement learning. For example: quantifying the uncertainty of non-linear function approximators, approximate inference, exploration vs. explotation and model based reinforcement learning.