Yangwen Zhang, PhD joined the Department of Mathematics at the University of Louisiana at Lafayette as an Assistant Professor in August 2023. Prior to coming to UL Lafayette, he received his PhD in mathematics from the Missouri University of Science and Technology in 2018. Following this, he embarked on a postdoctoral research journey in the Department of Mathematical Science at the University of Delaware from 2018 to 2021. Subsequently, from Fall 2021 through the Spring of 2023, he extended his postdoctoral pursuits in the Department of Mathematical Science at Carnegie Mellon University.
Dr. Zhang's research interests span the areas of applied mathematics, scientific computing, numerical analysis, and data science. His primary focus revolves around pioneering computational methodologies for tackling partial differential equations, with a distinct emphasis on the hybridizable discontinuous Galerkin (HDG) method. Moreover, he actively explores model order reduction techniques tailored for PDEs, leveraging their application across diverse domains such as optimal control problems, inverse problems, and engineering scenarios. Driven by a profound fascination, Dr. Zhang delves into the intricate landscape of data science challenges, seamlessly weaving them into the fabric of PDE-related contexts, encompassing PDE control and model order reduction.