Dylan Asmar is a Ph.D. candidate in the Department of Aeronautics and Astronautics at Stanford University, where he conducts research on decision making under uncertainty, human-AI collaboration, and optimization under the guidance of Professor Mykel J. Kochenderfer in the Stanford Intelligent Systems Laboratory. His work focuses on developing methods to improve collaboration between humans and autonomous systems, with applications ranging from robotics to medical systems.

Prior to his doctoral studies, Dylan served as an F-22 Operational Test and Evaluation Pilot with the United States Air Force, where he led initiatives to modernize data analytics in operational testing. His efforts contributed to advancements in F-22 capabilities, including improvements in flight software and defensive systems.

Dylan holds a Master of Science in Aeronautics and Astronautics from the Massachusetts Institute of Technology, where his research on airborne collision avoidance in mixed equipage environments contributed to the development of the Airborne Collision Avoidance System X (ACAS X). He graduated as a Distinguished Graduate from the United States Air Force Academy with a Bachelor of Science in Mathematics and Astronautical Engineering, earning honors for both Academic and Military Distinction.

Currently, Dylan serves as a Hugh H. Skilling Stanford Graduate Fellow and continues his role as an F-22 Operational Test and Evaluation Pilot with the Nevada Air National Guard. He is actively involved in mentoring the next generation of engineers and researchers, serving as the Head Teaching Assistant for graduate-level courses in Decision Making Under Uncertainty (AA228/CS238) and Engineering Design Optimization (AA222/CS361).

Dylan's research focuses on advancing multiagent planning and human-AI collaboration in decision-making. He is passionate about exploring how to combine human intuition with algorithmic precision to address complex challenges in real-world applications. Dylan envisions continuing this work to develop robust collaborative systems that enhance human capabilities and contribute to meaningful societal advancement through the thoughtful integration of autonomous technologies.