Summary
Shreyas Kousik is an assistant professor and roboticist specializing in verifiable estimation, planning, and control to bring formal notions of safety from theory into real-world autonomous systems. With 11 years of experience spanning a PhD at Michigan, postdoctoral work at Stanford, and industry internships at NASA, GM, Nissan, and SPAWAR, he blends deep mathematical development with practical implementations. He has built and taught courses on autonomous vehicles and the mathematics of safety, and now designs curricula at Stanford to foster inclusive, cross-boundary discussions on social justice for engineers. Beyond research and teaching, he leverages outreach—bringing STEM to underprivileged students and curating diverse workshop programs at major robotics conferences—to ensure safe robotics benefits from broader perspectives.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of Michigan
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Georgia Institute of Technology