Yunqiu Xu
About Yunqiu Xu
Yunqiu Xu is a Machine Learning Engineer currently working at Rokt in Sydney, Australia. He has extensive academic and research experience, including a PhD in Reinforcement Learning and Natural Language Processing from the University of Technology Sydney.
Current Role at Rokt
Yunqiu Xu currently serves as a Machine Learning Engineer at Rokt, a position held since 2023. The role is based in Sydney, New South Wales, Australia, and operates in a hybrid work environment. In this capacity, Xu applies expertise in machine learning to develop solutions that enhance Rokt's technology offerings.
Previous Experience at University of Technology Sydney
Yunqiu Xu has held multiple roles at the University of Technology Sydney (UTS). Xu worked as a Postdoctoral Researcher from 2022 to 2023, following a four-year tenure as a PhD Researcher from 2018 to 2022. Additionally, Xu served as an Advisor for four months in 2020 and as a Research Intern for five months in 2017. These positions contributed to a solid foundation in research and development within the academic environment.
Educational Background
Yunqiu Xu has an extensive educational background in technology and engineering. Xu earned a Doctor of Philosophy (PhD) in Reinforcement Learning, Natural Language Processing, and Intelligent Transportation Systems from the University of Technology Sydney, completing the program from 2018 to 2022. Prior to this, Xu obtained a Master's degree in Information Technology from UNSW, studying from 2016 to 2018. Earlier academic achievements include a Doctor of Philosophy (PhD) in Polymer Chemistry and Physics from Zhejiang University in 2015 and a Bachelor of Engineering (BE) in Polymer Science and Engineering from the same institution, completed in 2014.
Expertise and Skills
Yunqiu Xu possesses a diverse skill set that includes data analysis, programming, statistical modeling, problem solving, team management, and technical consulting. Xu has experience in providing machine learning solutions across various fields, including dialogue systems, intelligent transportation systems, cybersecurity, mobile edge computing, and computer vision. This expertise is supported by participation in the Data61 5th International Optimisation Summer School in 2017.