Adam White is an Assistant Professor of Computing Science at the University of Alberta and Senior Research Scientist with DeepMind Alberta. Before joining DeepMind Adam completed a postdoc at Indiana University, and a PhD in Computer Science at the University of Alberta in 2015. He is a fellow of the Alberta Machine Intelligence Institute (Amii) and a Principal Investigator of the Reinforcement Learning and Artificial Intelligence group at the University of Alberta. Adam is a Canada CIFAR Chair in Artificial Intelligence. Adam's research focuses on the problem of Artificial Intelligence, specifically how to replicate and simulate human level intelligence in physical and virtual agents. His research group explores how the problem of intelligence can be modelled as a reinforcement learning agent interacting with some unknown environment, learning from a scalar reward signal rather than explicit feedback. His contributions include new algorithms for reinforcement learning, a knowledge representation language, and many large-scale demonstrations of learning on mobile robots. His work has been published in top conferences in ML and AI, including NeurIPS, ICLR, AAAI, IJCAI, and AAMAS. In particular, his work on off-policy learning and predictive knowledge representations is used by several major research groups as a foundation for their AI research. 

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