Justin Dong
I am a postdoctoral research scholar at the Center for Applied Scientific Computing at LLNL. My research interests include scientific computing, numerical analysis of high-order methods for PDEs, and scientific machine learning.
My current projects focus on analysis of time integration methods and physics couplings in Earth system models, high-order finite element methods on simplices, and development and analysis of physics-informed machine learning methods (I am mostly focused on Galerkin neural networks, which I developed in the process of my Ph.D. research).
Upcoming Events
- Dec. 11, 2024: giving a talk on computation of ocean-atmosphere turbulent flux parameterizations at AGU24
- Jan. 10, 2025: giving a talk on analysis of ocean-atmosphere turbulent flux parameterizations at JMM25
- Mar. 5, 2025: organizing a minisymposium on “Recent Theoretical Developments in Approximation Theory of Neural Networks” at SIAM CSE25