Daniel S.

Daniel S. is a highly skilled robotics software engineer with extensive experience in developing software for autonomous systems. At OffWorld, Daniel focused on enabling robots to navigate and map challenging terrains and GPS-denied environments. Currently, at Zoox, Daniel works on safety-critical motion planning and control for autonomous vehicles. Previous experience includes a role as a Group Process Development Intern at Applied Medical, where Daniel designed and constructed new manufacturing processes, and as a Student Researcher at the UCLA Smart Grid Energy Research Center, overseeing the production and design of EV charger models. Additionally, Daniel has developed educational materials and a Python video series at UCLA, and conducted advanced research on bipedal robotics as a Graduate Student Researcher at RoMeLa. Daniel holds a Bachelor's Degree, a Master's Degree, and a Ph.D. in Mechanical Engineering with a focus on robotics from the University of California, Los Angeles.