Zhao Yanxiang

Dr. Zhao Yanxiang is an Associate Professor in the Department of Mathematics at The George Washington University. His research focuses on computational mathematics, numerical analysis, and mathematical modeling with applications in biological chemistry and physics. He specializes in numerical methods for differential equations and phase-field modeling, particularly in areas such as cell motility and material science.

Education:

• B.A., 2002, Dalian University of Technology
• M.S., 2005, Dalian University of Technology
• Ph.D., 2011, The Pennsylvania State University

Research Interests: Dr. Zhao’s work bridges computational methods and real-world biological and physical systems. His key areas include optimal transport theory, phase-field modeling of biological processes (e.g., cell chemotaxis), and numerical schemes for nonlocal and multiscale systems. He has developed algorithms for applications in polymer physics, material phase transitions, and systems biology. His methodologies often integrate machine learning with traditional numerical analysis to solve complex PDEs and model dynamics across multiple spatial and temporal scales.

Publications: His recent work emphasizes interdisciplinary applications of optimal transport, such as screening cell-cell communication via collective transport methods and analyzing phase-field models for biological systems. He has also contributed to the development of energy stable numerical schemes and physics-informed neural networks for solving challenging equations in materials science.

Labs/Teams: While specific lab names are not mentioned, his research likely involves collaborations with computational biology and materials science groups, integrating mathematical modeling with experimental data.