Lingyi Song

Lingyi Song

Algorithm Application Engineer @ TuSimple

About Lingyi Song

Lingyi Song is an Algorithm Application Engineer with a Master's degree in Automotive Engineering from Clemson University. He has experience in collaborative robotics and automation, and currently develops infrastructure tools and data pipelines for localization and calibration applications at TuSimple.

Work at TuSimple

Lingyi Song has been employed at TuSimple as an Algorithm Application Engineer since 2021. In this role, he develops infrastructure tools and data pipelines specifically for localization and calibration applications. His work contributes to the advancement of autonomous driving technologies within the organization.

Education and Expertise

Lingyi Song holds a Master of Science in Automotive Engineering from Clemson University, where he studied from 2019 to 2021. Prior to this, he earned a Bachelor of Engineering in Automotive Engineering from Wuhan University of Technology, completing his studies from 2014 to 2018. He also studied at the University of Wales Trinity Saint David, further solidifying his expertise in the automotive field.

Background

Lingyi Song has a background in automotive engineering with a focus on collaborative robotics and automation. He worked as a Graduate Research Assistant at Clemson University International Center for Automotive Research from 2019 to 2020. Additionally, he served as a Research Intern at Wuhan University of Technology in the Lab of Innovative Vehicle Design for four months in 2018.

Previous Experience

Before his current position at TuSimple, Lingyi Song gained experience as an Algorithm Application Engineer Intern at TuSimple from 2020 to 2021. This internship lasted five months and provided him with practical insights into algorithm applications in the field of autonomous driving.

Projects and Contributions

Lingyi Song maintains a GitHub profile where he showcases various projects and contributions related to algorithm applications. His work reflects his active engagement in the fields of autonomous driving, Advanced Driver-Assistance Systems (ADAS), and robotics.

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