معرفی
Jesse Chan is an Associate Professor in the Department of Aerospace Engineering & Engineering Mechanics and the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin, having joined in Fall 2025 after six years as faculty at Rice University.
He earned his Ph.D. in computational science, engineering, and mathematics from The University of Texas at Austin in 2013, followed by postdoctoral positions at Rice University (2013-2015) and Virginia Tech (2015-2016). His educational trajectory demonstrates deep specialization in computational methods for engineering applications.
Chan's research focuses on computational engineering and scientific computing, with core expertise in reduced order modeling and computational fluid dynamics. He develops structure-preserving discretizations—including high-order discontinuous Galerkin methods—for simulating time-dependent hyperbolic partial differential equations. His work targets high-speed fluid flows over complex geometries critical to aerodynamic design (aircraft/wind turbines), computational weather prediction, flood modeling, and plasma/fusion energy systems. This research bridges theoretical numerical analysis with practical engineering solutions.
Scientific awards: No awards are mentioned in the provided text.
Advising and grants: While the text confirms his faculty role and research leadership, specific details about student advising or grant funding are not provided. His integration into the Computational Mechanics Group suggests active collaboration on computational projects.
He is a core member of the Oden Institute's Computational Mechanics Group (CMG), which advances interdisciplinary research in computational mechanics—including isogeometric analysis, computational fluid dynamics, and structure-preserving algorithms. The CMG's mission spans fundamental mathematics, algorithm development, and engineering applications across aerospace, energy, and environmental systems.
