Xiangmin Han is a postdoctoral researcher at Tsinghua University with nine years of research and development experience focused on hypergraph computation and medical image analysis. He holds a PhD in Artificial Intelligence from Shanghai University and applies advanced graph-based methods to brain network and pathological image analysis. At Tsinghua he bridges theoretical graph algorithms with practical healthcare imaging problems, producing work that spans algorithm design, model development, and domain-specific evaluation. Known for tackling complex, high-dimensional biomedical data, he brings a rigorous academic background to collaborative projects in Beijing’s thriving research ecosystem. Less obvious: he combines deep algorithmic insight with hands-on implementation experience, enabling reproducible pipelines that translate research into usable tools for clinical and neuroscience partners.
9 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Shanghai University
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Xiangmin Han - Postdoctoral Researcher at Tsinghua University