Dr. Yeyu Zhang is an Associate Professor and doctoral supervisor at the School of Mathematics, Shanghai University of Finance and Economics. He received his Ph.D. from the University of Wisconsin–Madison in 2021. Since 2021, he has been a faculty member at Shanghai University of Finance and Economics and has held visiting appointments at the University of Wisconsin–Madison and Brown University. His research focuses on applied mathematics, scientific computing, partial differential equations, geophysical fluid dynamics, data assimilation, uncertainty quantification, and AI-based scientific computing, including physics-informed machine learning, neural operator learning, and quantum-compatible neural networks. His representative work includes studies on moist geophysical fluid dynamics and fast-wave averaging published in Journal of Nonlinear Science, Journal of Fluid Mechanics, and Philosophical Transactions of the Royal Society A, as well as recent work on physics-informed operator learning. He serves on the Third Committee on Financial Mathematics and Engineering and Actuarial Insurance of the China Society for Industrial and Applied Mathematics (2026–2030). His honors and recognitions include the Shanghai Leading Talent Program (Overseas)–Young Talent, the Shanghai Pujiang Talent Program (Category A), the John A. Nohel Prize, and the Excellence in Mathematical Research Award.