Dr. Mykel Kochenderfer

Associate Professor

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Biography

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.

Research Interests

Courses

AA 228 CS 238 AA 222 CME 222 CS 361 OSPGEN 65 CS 499 CS 390A CS 390B AA 190 CS 399 SYMSYS 196 AA 199 CS 199 CS 390D AA 291 AA 290 CS 191 CS 195 CS 191W AA 120Q AA 228V CS 238V AA 229 CS 239 MLA 373 OSPOXFRD 29

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.