Christopher Marsh
About Christopher Marsh
Christopher Marsh is a Robotics Operations Engineer currently employed at May Mobility in Ann Arbor, Michigan. He has a background in electrical engineering and physics, with previous experience at Northrop Grumman and Aptiv.
Work at May Mobility
Christopher Marsh has served as a Robotics Operations Engineer at May Mobility since 2020. His role involves the development and implementation of robotics systems that enhance mobility solutions. He contributes to projects aimed at improving autonomous vehicle technology, focusing on operational efficiency and system reliability. His work supports May Mobility's mission to provide safe and accessible transportation options.
Previous Experience at Northrop Grumman
Christopher Marsh interned at Northrop Grumman in two capacities. He worked as an Electronics and Payloads Intern for three months in 2018 and as a Systems Engineering Technical Intern for three months in 2017. During these internships, he gained hands-on experience in electronics and systems engineering, contributing to various projects in the aerospace and defense sectors.
Experience at University of Michigan Intelligent Ground Vehicle
Christopher Marsh was a founding member of the University of Michigan Intelligent Ground Vehicle team from 2016 to 2019. In this role, he participated in the design and development of autonomous ground vehicles, collaborating with peers to advance robotics technology. His involvement spanned three years, during which he contributed to the team's initiatives and projects.
Role at Aptiv
From 2019 to 2020, Christopher Marsh worked as an Algorithm Simulation Engineer at Aptiv in the Greater Detroit Area. In this position, he focused on developing simulation algorithms for automotive applications. His work contributed to enhancing the performance of advanced driver-assistance systems, aligning with Aptiv's commitment to innovation in mobility solutions.
Education and Expertise
Christopher Marsh studied at the University of Michigan, where he earned a Bachelor of Science in Electrical Engineering from the College of Engineering and a minor in Physics from the College of Literature, Science, and the Arts. His education spanned from 2015 to 2019, providing him with a strong foundation in engineering principles and scientific concepts relevant to robotics and autonomous systems.