I am a faculty member at the Vector Institute for Artificial Intelligence, affiliated with the Machine Learning group at the University of Toronto. I completed my PhD (thesis) in Electrical & Computer Engineering at the University of Toronto in 2017 where I was a student under Brendan Frey and part of the Machine Learning group. I have a broad set of interests in machine learning, but my most recent research focuses on generative models and deep reinforcement learning. During my PhD, I interned for Google Brain team in 2015 where I developed the adversarial autoencoder; and Google DeepMind team in 2016 where I worked on developing deep reinforcement learning algorithms for the StarCraft II game.

I completed my Master’s (thesis) at the University of Toronto in 2012 where I worked on distributed compressed sensing, supervised by Shahrokh Valaee. I received my Bachelor’s degree from Amirkabir University of Technology (Tehran Polytechnic), Iran, in 2010.

Office: Vector Institute, MaRS Centre
Email: makhzani AT vectorinstitute DOT ai