Zixuan Chen is a skilled Software Engineer and Research Assistant with a robust background in both software development and academic research. Experience includes a research internship at Aarhus University, contributing to the publication on dynamic modeling and digital twin technology. At iAsia Online Systems Limited, Zixuan developed user interfaces and streamlined reporting processes through innovative software solutions. As a Research Assistant at Duke University, Zixuan focused on creating an advanced auto-grader for machine learning algorithms, emphasizing collaboration and version control. Prior research at City University of Hong Kong involved in-depth studies on Non-Orthogonal Multiple Access (NOMA) in wireless communications. Zixuan is currently a Software Engineer at Meta and holds a Bachelor's degree in Information Engineering from City University of Hong Kong, along with a Master's degree in Electrical and Computer Engineering from Duke University.
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