Nathan Sturtevant a professor at the University of Alberta, an Amii Fellow, and a Canada CIFAR chair. He received his PhD in Computer Science from UCLA and BSc in EECS from UC Berkeley.
Nathan's research looks broadly at heuristic and combinatorial search problems, including both theoretical and applied approaches. This includes work for single and multiple agents including specialized work involving machine learning, heuristic learning, bidirectional search, cooperative search, adversarial search, large-scale and parallel search, search for game design, abstraction and refinement, and inconsistent heuristics. His research has been implemented in commercial video games and he continues to collaborate with practitioners in the games industry.