Michael Lin

Michael Lin is a Robotics PhD who has conducted extensive research at Stanford University from 2019 to 2023, where they served as a Graduate Research Assistant. During their time there, they developed a breakthrough recursive algorithm that significantly improved the real-world applicability of robot learning policies, leading to two patent submissions and a research publication ranked in the top 15% at the Robotics: Science and Systems Conference in 2023. Michael also gained industry experience as a Research Scientist Intern at NVIDIA, where they explored methods to bridge the simulation-to-reality gap in robotics. They have a Bachelor of Science in Electrical Engineering and Computer Science from UC Berkeley and a Master of Science in Mechanical Engineering from Stanford. Currently, they work as a Robotics Software Engineer at Apple.