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Xingyuan Fang is an Associate Professor in the Department of Electrical and Computer Engineering at Duke University. He specializes in Biostatistics and Bioinformatics, with a focus on statistical learning and optimization techniques. Dr. Fang has been involved in numerous research projects that integrate quantitative methods and computational techniques to advance biomedical research and application. He earned his Ph.D. from Princeton University in 2016, where he developed a solid foundation in applied statistics and data analysis. At Duke, he teaches various courses, including Advanced Topics in Computer Science and Statistical Inference, where he applies his expertise to engage students in real-world statistical challenges. He actively contributes to the academic community through his research and collaborative projects, aiming to bridge the gap between statistical theory and biomedical applications.
Department of Biomedical Engineering (MS program)