Manfred Diaz
Ph. D candidate at Mila and Montreal Robotics.I am a final year PhD candidate in Machine Learning and Robotics at Mila under the supervision of Liam Paull with a keen interest in AI and machine learning (ML) shared roots with other scientific disciplines exploring human-built structures and interactions, such as economics, game theory, mechanism design, and social choice theory. Primarily, my research focuses on how various problems at the foundations of ML mirror those in these other disciplines and how these connections offer well-grounded frameworks for better understanding the present and shaping the future of AI. I have interned at Google X, J.P. Morgan AI Research, Motional Inc., and Huawei Noah’s Ark Lab Canada.
Earlier, I graduated from Concordia University with an M.Sc. in Computer Science under Thomas Fevens. Simultaneously, I spent a year as a visiting researcher in the Shared Reality Lab at McGill University under the supervision of Jeremy Cooperstock. Before, I completed a B.Sc. in Computer Science summa cum laude from Universidad de las Ciencias Informaticas in Havana, Cuba.
News
Jul 29, 2022 | I gave an invited talk on Generalization Games for RL at Berkeley MALS and Mila RL Sofa. Access the recording here. |
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Jun 20, 2022 | I started as a Research Intern at J. P. Morgan AI Research in London! |
Mar 28, 2022 | Our paper Generalization Games for Reinforcement Learning has been accepted for presentation at ICLR workshop on Gamification and Multiagent Solutions. |