Abigail Hsu is a 3rd year Ph.D student studying applied math at Stony Brook University. Researching under Professor James Glimm, she is currently doing research on the simulation application in particle-laden flows in cooperation with Stanford University Predictive Science Academic Alliance Program. She received her bachelor’s degree in Mathematics at Stony Brook University where she became interest in Fluid Dynamics. When she was an undergraduate student, she started to work with Professor James Glimm on the research project of “Robust parallel communication of front data by using the global index” in their Front Tracking Method. She has participated in the Los Alamos National Laboratory Computational Physics Summer Workshop of 2017, on the project of “lengthscale Equations for Turbulence Modeling”. In the summer of 2018, she participated in the Parallel Computing Summer Research Internship and worked on the “Challenges of Performance Portability for Fortran Unstructured Mesh Codes”. As a graduate student, she is a high-performance computing systems administrator managing three HPC cluster systems in her department. Abigail exemplifies the spirit of never giving up and exploring deeper without losing the focus of the big picture. This has fueled her pursuit of personal development and scientific research.