Yufan Wei is a PhD student in computer science with nine years of research and industry experience spanning distributed learning, computer networks, deep learning, and data analysis. He has combined roles at Apple and top Chinese universities (Peking University, Tsinghua) with visiting and doctoral research at UC San Diego and the University of Minnesota, where his lab work contributed to a meta-learning–assisted neural receiver paper. Comfortable moving between applied data analysis and theoretical research, he focuses on AI-driven communication protocols and transmission optimization. Based in San Diego and with a background bridging physics postdoc circles and CS undergrad training across BUPT and UMN, he seeks research assistant or internship roles at the intersection of econ+, networking, and ML.
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