Zejia Zheng
About Zejia Zheng
Zejia Zheng is a Member of Technical Staff (Optimization) at Runway, where he has worked since 2024. He has a background in deep learning and software engineering, with previous roles at NVIDIA and Zoox, and holds a Ph.D. in Computer Science and Engineering from Michigan State University.
Work at Runway
Zejia Zheng has been employed at Runway as a Member of Technical Staff (Optimization) since 2024. In this role, Zheng focuses on optimization techniques within the organization, contributing to the development and enhancement of Runway's technology and products. The position allows Zheng to apply extensive knowledge and experience gained from previous roles in the tech industry.
Previous Experience at NVIDIA
Prior to joining Runway, Zejia Zheng worked at NVIDIA as a Senior Architect in Deep Learning from 2021 to 2024. In this capacity, Zheng was involved in advanced projects related to deep learning technologies, leveraging expertise to drive innovation and efficiency within the organization. This role contributed significantly to Zheng's professional development in the field of artificial intelligence.
Career at Zoox
Zejia Zheng's career at Zoox spanned several roles, beginning as a Research Intern in 2016 for three months. Zheng then progressed to a Software Engineer from 2017 to 2020, followed by a position as a Senior Software Engineer from 2020 to 2021. Throughout these roles, Zheng contributed to various software development projects, enhancing skills in engineering and technology.
Education and Expertise
Zejia Zheng holds a Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Michigan State University. Zheng also earned a Bachelor of Science (BSc) in Applied Mathematics from Fudan University, where studies were completed from 2008 to 2012. Additionally, Zheng attended Shanghai Foreign Language School from 2001 to 2008, providing a strong educational foundation that supports expertise in technical fields.
Research Experience
Zejia Zheng gained research experience as a Research Assistant at Michigan State University's EI lab from 2012 to 2017. This position involved engaging in various research projects, contributing to advancements in the field of computer science. The role helped develop analytical and problem-solving skills that are applicable in professional settings.