Yizhe (Eddie) Zhao

Yizhe (Eddie) Zhao

Research Engineer Iii @ TuSimple

About Yizhe (Eddie) Zhao

Yizhe (Eddie) Zhao is a Research Engineer III at TuSimple, where he applies his expertise in machine learning to enhance user experiences. He holds degrees in both computer science and psychology, reflecting a multidisciplinary approach to research and development.

Current Role at TuSimple

Yizhe Zhao currently holds the position of Research Engineer III at TuSimple, where he has been employed since 2022. In this role, he focuses on research and development initiatives, applying his expertise in machine learning to enhance user experiences. His work contributes to the advancement of technology in the autonomous driving sector.

Previous Experience at TuSimple

Prior to his current role, Yizhe Zhao worked at TuSimple as a Research Engineer from 2021 to 2022 in the Greater San Diego Area. He also completed a six-month internship as a Research Engineer Intern in 2020 in San Diego, California. His experiences at TuSimple have provided him with a solid foundation in research methodologies and practical applications in the field.

Education and Expertise

Yizhe Zhao has a multidisciplinary educational background. He earned a Master of Science in Computer Science from the University of California, San Diego, where he studied from 2019 to 2021. Additionally, he holds two Bachelor's degrees from Peking University: one in Psychology and another in Computer Intelligence Science, completed between 2015 and 2019. This unique combination of degrees supports his research interests in machine learning and user experience.

Research Assistant Experience

Before joining TuSimple, Yizhe Zhao worked as a Research Assistant at Peking University from 2018 to 2019 in Beijing City, China. This role allowed him to engage in various research projects, further developing his skills in research and analysis within an academic setting.

Research Interests

Yizhe Zhao is passionate about leveraging artificial intelligence to create products that meet user needs. His strong interest in applying machine learning to real-world applications drives his research efforts, particularly in enhancing user experiences through innovative technology solutions.

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