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Yunan Yang is an assistant professor in the Department of Mathematics at Cornell University. He earned his Ph.D. from the University of Texas at Austin in 2019. His research focuses on computational mathematics, emphasizing the development of numerical methods for computational inverse problems, machine learning, and PDE-constrained optimization. His work explores various aspects of optimal transportation and nonconvex optimization. Yang has published several papers in prestigious journals and conferences, addressing topics such as natural gradient descent methods for large-scale PDE-based optimization problems and neural inverse operators for solving PDE inverse problems. He is also interested in applications of data science in mathematics, particularly in optimal transport and its applications to seismic inversion and chaotic dynamics. Yang teaches courses related to applied mathematics and linear algebra.
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