Max Olan Smith

I am a Ph.D. candidate at the University of Michigan working with Michael P. Wellman. This summer I will be visiting DeepMind's Game Theory team in Paris working with Daniel Hennes. Previously, I was an intern with Aaron Courville at the Montréal Institute for Learning Algorithms. I am generally interested in multiagent learning, reinforcement learning, empirical game theory, continual learning, meta-learning, deep learning, and education.

As an undergraduate I had the absolute pleasure to work with many brilliant advisors: Honglak Lee, Rada Mihalcea, and Andrew DeOrio. I also spent my summers at Google and Sandia National Labs.

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