I completed my PhD 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 of images and their applications in semi-supervised learning; neural networks that can learn sparse representations of data; and deep reinforcement learning algorithms. 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 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: BA4165, Bahen Centre for Information Technology
Email: makhzani AT psi DOT toronto DOT edu


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