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Mykel Kochenderfer is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence. He received his Ph.D. from the University of Edinburgh, focusing on informatics, and his M.S. and B.S. degrees in Computer Science from Stanford University. Prior to joining Stanford, he was at MIT Lincoln Laboratory, where he worked on airspace modeling and aircraft collision avoidance. He is the director of the Stanford Intelligent Systems Laboratory, where he conducts research on advanced algorithms and analytical methods to design robust decision-making systems, particularly in the fields of air traffic control, unmanned aircraft, and aerospace applications. His research focuses on developing efficient computational methods to derive optimal decision strategies in high-dimensional, probabilistic problem representations. Kochenderfer has authored several books including 'Decision Making Under Uncertainty: Theory and Application' and has contributed significantly to the literature on algorithms for optimization and decision-making. In addition to his academic roles, he serves as Co-Director of the Center for AI Safety and directs the SAIL-Toyota Center for AI Research at Stanford.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.