Chao Chen
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Assistant Professor Contact: chao_chen@ncsu.edu |
Research Interests
My research focuses on the intersection of Randomized Numerical Linear Algebra (RandLA), Scientific Machine Learning (SciML), and High-Performance Computing (HPC). I develop scalable, hardware-aware algorithms to solve challenging problems in scientific computing, with a particular focus on
Randomized Hierarchical Compression: Developing theory, algorithms, and software for Hierarchical-matrix approximations, with applications to scalable linear sovlers, uncertainty quantification, and operator learning for elliptic PDEs.
Graph Laplacian Solvers: Developing randomized sepctral sparsification for large-scale, high-dimensional data.
Hardware-Software Co-Design: Developing communication-avoiding kernels for GPU-accelerated supercomputers.
Short Biography
Before joining NC State, Chao Chen was a postdoctoral researcher at the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin, working with George Biros and Per-Gunnar Martinsson. He received his PhD in 2018 Stanford University's Institute for Computational and Mathematical Engineering (ICME), advised by Eric Darve.
Chao has held research internships at NVIDIA Research (2018), Sandia National Laboratories’ Center for Computing Research (2015-2017), and Lawrence Livermore National Laboratory's Computational Materials Science Group (2013). He received his BS from Nankai University (Tianjin, China) in 2012.