Garrett Ryan
About Garrett Ryan
Garrett Ryan is a Senior Autonomous Driving Performance Analyst at TuSimple, where he has worked since 2021. He has a background in physics and experience in various roles related to autonomous driving and education.
Work at TuSimple
Garrett Ryan has been employed at TuSimple since 2019, initially serving as an Autonomous Driving Performance Analyst. He transitioned to the role of Senior Autonomous Driving Performance Analyst in 2021. His work primarily takes place in San Diego, California. In his current position, he focuses on enhancing the performance of autonomous driving systems. His experience at TuSimple spans over three years, during which he has contributed to various projects aimed at improving the efficiency and safety of autonomous vehicles.
Education and Expertise
Garrett Ryan studied at Claremont McKenna College, where he earned a Bachelor of Arts in Physics from 2013 to 2017. He also completed his secondary education at Westview High School, obtaining a General Education diploma from 2009 to 2013. His academic background in physics provides a solid foundation for his analytical work in autonomous driving technology.
Background
Before joining TuSimple, Garrett Ryan held various positions that contributed to his professional development. He worked as a Substitute Teacher and Tutor at Poway Unified School District from 2017 to 2018. Additionally, he was involved with the University of California San Diego as a member and later as a leader of the SRT Undergraduate Team in 2015 and 2016, respectively. These roles helped him gain valuable experience in leadership and teamwork.
Previous Employment Experience
Garrett Ryan has a diverse work history that includes roles at Metron, Inc. as an Operations/Systems Analyst in 2019, and a hiking experience on the Pacific Crest Trail in 2018. His role at Metron involved analyzing operations and systems, further enhancing his analytical skills. His varied experiences have equipped him with a broad skill set applicable to his current role in autonomous driving.