The Stanford Intelligent Systems Laboratory (SISL) researches advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations.

See the new documentary on the first ten years of the laboratory!

If you are a Stanford student interested in becoming involved in our research, please register your interest here. Postdoctoral research candidates can register interest here.

Students in SISL come from a variety of departments, such as aeronautics and astronautics, computer science, computational and mathematical engineering, and mechanical engineering. If you are not yet a student, but are interested in applying, please see the respective admissions pages. If you are admitted, you will be invited to campus for visit day to meet with faculty and tour labs.