Lingting Ge
About Lingting Ge
Lingting Ge is a Senior Research Engineer at TuSimple, where he has worked since 2020. He holds a Master's Degree in Computer Science from UC San Diego and a Bachelor's Degree in Computer Science from Shanghai Jiao Tong University.
Work at TuSimple
Lingting Ge has been employed at TuSimple since 2020, serving as a Senior Research Engineer in San Diego, California. In this role, Ge has contributed to the company's advancements in autonomous driving technology. Prior to this position, Ge held various roles at TuSimple, including Deep Learning Engineer for three months in 2017, Research Engineer from 2018 to 2019, and Research Engineer III from 2019 to 2020. This cumulative experience at TuSimple spans over four years, showcasing a progressive career within the organization.
Education and Expertise
Lingting Ge earned a Master’s Degree in Computer Science from the University of California, San Diego, studying from 2016 to 2017. Prior to this, Ge completed a Bachelor’s Degree in Computer Science at Shanghai Jiao Tong University, where studies took place from 2012 to 2016. This educational background provides a strong foundation in computer science principles and applications, contributing to Ge's expertise in research and development within the field.
Background
Lingting Ge has a background in computer science, with formal education from two prestigious institutions. Ge's career in the technology sector began with a focus on deep learning and research engineering, leading to significant contributions at TuSimple. The combination of academic training and practical experience has shaped Ge's professional journey in the autonomous vehicle industry.
Career Progression
Lingting Ge's career at TuSimple reflects a steady progression through various engineering roles. Starting as a Deep Learning Engineer in 2017, Ge transitioned to a Research Engineer role in 2018, followed by a position as Research Engineer III in 2019. In 2020, Ge advanced to the role of Senior Research Engineer, indicating a trajectory of increasing responsibility and expertise in the field of autonomous driving technology.