Youngjun Lee

Youngjun Lee is a computational scientist focusing on developing high-order numerical algorithms and high-performance simulation codes for heterogeneous computing systems. He develops and maintains the Flash-X code, a highly composable multiphysics simulation system, especially on its performance portability layers, including the automatic code-generation schemes and domain-specific runtime library. His responsibilities include designing numerical algorithms, optimizing GPU kernels, developing a domain-specific runtime library, and creating code-generation tools to better utilize advanced heterogeneous hardware. 

Youngjun earned his Ph.D. in Applied Mathematics & Statistics from the University of California, Santa Cruz (UCSC). During his graduate studies, he developed high-order numerical methods to enhance computational efficiency and accuracy for solving Partial Differential Equations (PDEs). He joined the Accelerator Systems Division at Argonne as a visiting student in 2021 and as a postdoctoral appointee in 2022, where he established simulation configurations for collimation damages on APS-U. In 2022, he joined the Flash-X project at the Mathematics and Computer Science Division at Argonne.

Research Interests

• Scientific computing
• High-order numerical methods
• High-Performance Computing (HPC)

Publications

See my Google Scholar page.