Jesse Chan
Associate Professor
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolJesse Chan is an associate professor and computational mathematician with 14 years of experience specializing in high-performance scientific computing, numerical analysis, fluid dynamics, and wave propagation. He develops and tests robust, high-order numerical methods for conservation laws—contributing backend and test automation work to the widely used Trixi.jl framework, including careful implementations of compressible Euler conversions and parabolic-term integration. Having held faculty and research positions at Rice, Virginia Tech, and the Oden Institute, he blends deep theoretical grounding (PhD, UT Austin) with hands-on HPC implementation and pedagogy. Based in Houston, he is known for bridging rigorous numerical analysis with practical solver engineering and for strengthening software reliability through comprehensive unit testing across 1D–3D simulations.
14 years of coding experience
15 years of employment as a software developer
PhD Computational Sciences Engineering and Mathematics, PhD Computational Sciences Engineering and Mathematics at The University of Texas at AustinBachelor of Arts - BA Computational and Applied Mathematics, Bachelor of Arts - BA Computational and Applied Mathematics at Rice University
Chinese
Github Skills (4)
simulations10
unit-testing10
simulation10
julia10
Programming languages (5)
Github contributions (5)
trixi-framework/Trixi.jl
Apr 2021 - Jan 2023
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:882 reviews, 66 commits, 235 PRs in 1 year 9 months
Contributions summary:Jesse contributed significantly to the development of the Trixi.jl framework, focusing on implementing and testing compressible Euler equations and related conversion functions, specifically `entropy2cons`. They added and refined unit tests to ensure the correctness of these conversions across 1D, 2D, and 3D compressible Euler equations. Furthermore, the user worked on integrating and testing changes related to the addition of parabolic terms and the use of Gauss-based SBP solvers for numerical simulations.
adaptivesimulationfluid-dynamicsnumerical-simulation-frameworknumerical-simulations
jlchan/Trixi.jl
Mar 2021 - Apr 2025
A tree-based numerical simulation framework for hyperbolic PDEs written in Julia
Contributions:2 PRs, 1014 pushes, 131 branches in 4 years 1 month
numerical-simulation-frameworksimulation-frameworknumerical-simulationsimulationtree-based
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