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Dong Mao has a Bachelor's degree in Mathematics from Peking University, a Master's degree in Mathematics from Chinese Academy of Science, and a PhD in Applied Mathematics from Syracuse University. Dong has extensive experience in research and development related to semiconductor devices, health status prediction, and computational mathematics. Dong has held roles at various universities and companies, including Michigan State University, Syracuse University, and West Virginia University. Dong's expertise includes machine learning theory, optical proximity correction of photolithography, and developing software for computing sample entropy.