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Zhiyan Ding is an Assistant Professor in the Department of Mathematics at the University of Michigan. His research focuses on applied computational mathematics, particularly in numerical analysis, quantum computing, machine learning, and data science. He aims to develop a deep mathematical understanding of existing algorithms and to design new, principled ones. His research interests encompass a wide range of topics including quantum computing, machine learning, quantum eigenvalue estimation, signal processing, and quantum-classical optimization. He has a strong background in applied mathematics, having earned a Bachelor's degree from Shanghai Jiao Tong University in 2017, a Master's degree from the University of Wisconsin-Madison in 2018, and a Ph.D. from the same institution in 2022. He is committed to advancing the field through innovative research and collaboration.
Department of Electrical Engineering and Computer Science