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Zhongyuan Liang is a Ph.D. candidate in Computational Precision Health at UC Berkeley and UCSF, advised by Prof. Ahmed Alaa and Prof. Irene Chen. His research focuses on multimodal learning and interpretability, with applications to healthcare. Before joining Berkeley, he received bachelor’s degrees in Computer Science and Statistics from the University of Toronto.