Yadong Zeng

Researcher at The University of Texas at Austin

City of Albany, New York, United States
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Summary

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Senior
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Yadong Zeng is a researcher and software engineer with eight years' experience specializing in CFD, multiphysics simulation, and ML-enhanced modeling of complex fluid and electrodynamic systems. He holds a Ph.D. in Mechanical Engineering from the University of Minnesota and is currently a researcher at UT Austin, after internships and visiting roles at Berkeley Lab where he delivered GPU-accelerated hybrid MPI/CUDA codes achieving ~17x speedups. His work spans large C++/Fortran codebases (including a 50k+ LOC adaptive level set framework) and coupling of immersed boundary and particle collision models for fluid-structure interaction. Comfortable moving research into performant software, he has applied uncertainty quantification and advanced numerical methods to next-generation electronics and two-phase flow problems. Based in Albany, NY, he blends deep academic training with practical high-performance computing experience and an affinity for both CFD and machine learning. Colleagues note he’s self-described “lazy” in a productive way—favoring elegant, efficient solutions over unnecessary complexity.
code8 years of coding experience
job1 year of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at The University of Texas at Austin
bookDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of Minnesota
bookBachelor's degree, Naval Architecture, Civil, and Ocean Engineering, Top 1%, Bachelor's degree, Naval Architecture, Civil, and Ocean Engineering, Top 1% at Shanghai Jiao Tong University
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Stackoverflow

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Github Skills (67)

refinement10
mesh9
sampling9
snl-applications9
solver9
amr9
modeling-tool9
openfoam9
equation9
hydrodynamics9
computational-fluid-dynamics9
placement9
sparse9
cluster-computing8
fenics8

Programming languages (4)

TypeScriptC++CPython

Github contributions (5)

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ruohai0925/IAMR

Dec 2022 - Jan 2025

A parallel, adaptive mesh refinement (AMR) code that solves the variable-density incompressible Navier-Stokes equations.
Contributions:70 PRs, 176 pushes, 2 branches in 2 years 1 month
snl-applicationsadaptivemodeling-toolopenfoamplacement
ruohai0925/WarpX

Jun 2020 - Aug 2020

Contributions:2 PRs, 130 pushes, 10 branches in 2 months
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Yadong Zeng - Researcher at The University of Texas at Austin