Dr. David Del Rey Fernández

Biography

David Del Rey Fernández is an Associate Professor and the Pratt & Whitney Canada Chair in Industrial Artificial Intelligence at the University of Waterloo, specializing in the field of Applied Mathematics. His academic journey began with a PhD from the University of Toronto. Prior to joining the University of Waterloo, he served as a postdoctoral researcher and research scientist at NASA Langley Research Center partnered with the National Institute of Aerospace. His research focuses on the development of robust and efficient numerical algorithms for solving partial differential equations, utilizing novel numerical methods with provable properties that can be applied to high-performance computing systems. Specifically, David emphasizes robust numerical methods, mesh adaptation, and the implementation of approaches to tackle geometric complexity through moving meshes. Additionally, he explores machine learning algorithms to enhance automation and efficiency in scientific computing. His work contributes significantly to the mathematical frameworks required for the efficient solution of a broad class of time-dependent partial differential equations.

Research Interests