Pablo Samuel Castro is currently a Senior Staff Research Scientist at Google DeepMind and a Core Industry Member at Mila - Quebec Artificial Intelligence Institute. They have extensive experience in reinforcement learning and machine learning, especially as applied to music and creativity. Previously, they worked as a Software Engineer at CAE and held various roles at Google, contributing to large-scale machine learning solutions. Pablo earned a Ph.D. in Computer Science from McGill University, where their research focused on equivalence notions in fully and partially observable Markov Decision Processes. Additionally, they serve as an Adjunct Professor at the Université de Montréal.
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