Weijia Wu
About Weijia Wu
Weijia Wu is an algorithm engineer currently working at DJI since 2020. He has a background in engineering with degrees from Tsinghua University and the University of Washington, and has held various engineering roles in companies such as Arm China, Baidu USA, and Yrobot Inc.
Work at DJI
Weijia Wu has been employed at DJI since 2020, serving as an 算法工程师. In this role, Wu focuses on algorithm development and optimization, contributing to DJI's advancements in drone technology and related applications. Wu's experience at DJI spans four years, during which significant projects and initiatives have likely been undertaken, although specific details are not provided.
Previous Experience in Engineering
Prior to joining DJI, Weijia Wu gained valuable experience in various engineering roles. Wu worked as an Engineer Intern at Arm China for three months in 2016, where foundational skills in engineering were developed. Subsequently, Wu served as a DuerOS Engineer Intern at Baidu USA from 2018 to 2019 for three months, and as a Control Engineer at Yrobot Inc. from 2019 to 2020 for one year. These positions contributed to Wu's expertise in algorithm development and control systems.
Education and Expertise
Weijia Wu holds a Bachelor of Engineering in Automation Engineer Technology/Technician from Tsinghua University, completed from 2013 to 2017. Following this, Wu pursued advanced studies, obtaining a Master's degree in Data Science from Tsinghua University from 2017 to 2019. Additionally, Wu studied at the University of Washington, earning a Master's degree in Technology Innovation during the same period. This educational background provides a strong foundation in engineering and data science.
Academic Background
Weijia Wu's academic journey includes a Bachelor's degree in Automation Engineer Technology/Technician from Tsinghua University, which was completed in 2017. Wu furthered education by obtaining two Master's degrees: one in Data Science from Tsinghua University and another in Technology Innovation from the University of Washington, both achieved between 2017 and 2019. This combination of degrees reflects a commitment to both engineering and innovative technology.