I am a Ph.D. student at the Université de Montréal (UdeM) coadvised by Yoshua Bengio and Hugo Larochelle. My primary area of interest is in the use of generative models for model-based reinforcement learning and reasoning algorithms. Before coming to UdeM, I spent a fantastic year at Google Research (in a seemingly never-ending internship) where I worked with Google Accelerated Sciences and Google Brain. Along with a growing number of researchers in machine learning, my prior background was in physics. I completed my M.S. in Physics at UC San Diego where I was coadvised by David Meyer and Gary Cottrell . Before that, I graduated from MIT in physics and researched techniques for directional dark matter detection with the DMTPC collaboration .