Summary
Sean Vaskov is a Staff Research Scientist with nine years of experience designing real-time, safety-critical motion planning and control for autonomous vehicles. He holds a BS from MIT and a PhD from the University of Michigan, where he developed reachability-based trajectory design methods and GPU-parallelizable, chance-constrained optimization algorithms. At ISEE he has progressed from research scientist to technical lead, applying deep reinforcement learning and reachability analysis to commercial autonomous yard trucks used by logistics leaders like Maersk. His background spans industry and field operations—from supervising offshore well work at Shell to validating algorithms on hardware—giving him rare hands-on insight into both systems engineering and deployable autonomy. Known for blending rigorous formal methods with practical, real-world validation, he focuses on controllers that are robust to environmental uncertainty while remaining computationally tractable for real-time use.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at University of Michigan - Rackham Graduate School
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Massachusetts Institute of Technology