Youngsoo Choi
Computational Scientist
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolYoungsoo Choi is a computational scientist with a decade of experience applying numerical analysis, PDE-constrained optimization, and reduced-order modeling to large-scale engineering problems at national labs and Stanford. Based at Lawrence Livermore National Laboratory, he blends deep applied-math expertise with practical software engineering—maintaining and extending massive C++ simulation codes and building fast local surrogate solvers for design optimization. His work spans optimization, numerical linear algebra, machine learning, and multidisciplinary sensitivity analysis, and he has a track record of mentoring students and teaching numerical optimization. Comfortable crossing domains, Youngsoo pairs interests in bioinformatics, medicine, and the humanities with rigorous computational research, making him adept at translating complex physics into efficient, data-driven simulation tools. Notably, his research produced award-winning applied-risk modeling early in his career and produced reproducible, high-performance methods used in shape and flow-control optimizations.
10 years of coding experience
9 years of employment as a software developer
Associate of Science (A.S.), Engineering, 4.0, Associate of Science (A.S.), Engineering, 4.0 at Montgomery County Community CollegeBachelor of Applied Science (B.A.Sc.), Civil and Environmental Engineering, 4.12/4.0, Bachelor of Applied Science (B.A.Sc.), Civil and Environmental Engineering, 4.12/4.0 at Cornell UniversityDoctor of Philosophy (Ph.D.), Computational and Mathematical Engineering, 3.99, Doctor of Philosophy (Ph.D.), Computational and Mathematical Engineering, 3.99 at Stanford University
Korean, English
Github Skills (44)
simulation10
reduction10
modeling-tool10
parallel-computing10
hydrodynamics10
modeling10
quantum-algorithms9
large-scale9
hpc9
snl-applications9
scale9
modelica9
optimization9
quantum-computing9
multiphysics8
Programming languages (7)
Github contributions (5)
LLNL/pylibROM
Aug 2023 - Oct 2024
Python interface for libROM, library for reduced order models
Contributions:1 release, 17 reviews, 1 PR in 1 year 2 months
LLNL/romweb
Apr 2022 - Mar 2025
Reduced order model (ROM) website
Contributions:6 reviews, 3 PRs, 471 pushes in 2 years 11 months
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