Shao-ting Chiu
Research Scientist at Siemens
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolShao-ting Chiu is a Research Scientist and Ph.D. candidate at Texas A&M with eight years of experience building scientific machine learning tools for PDEs, operator learning, and uncertainty quantification. He has delivered high-impact research and fast, practical implementations—ranging from Julia-based surrogate modeling at Pumas-AI to JAX/PyTorch frameworks that achieve 10–100x speed or size improvements for PINNs and neural Galerkin methods. At Lawrence Livermore he advanced multigrid and multifidelity training techniques, and his recent work proposes non‑autoregressive operator learning (DeepOSets) that enables 100x faster inference for LLM-based PDE solvers. Trained originally in dentistry and electrical engineering in Taiwan, he brings interdisciplinary rigor and a talent for translating theory into scalable, domain-focused software for healthcare and geosciences.
8 years of coding experience
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at National Taiwan UniversityDentistry, Dentistry at National Yang Ming UniversityDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Texas A&M University
English, Vietnamese, manderin
Github Skills (110)
visual-studio10
editor10
electron10
typescript10
vscode-extension10
vscode10
visual-studio-code10
microsoft10
julia9
systems-biology9
ode9
dde9
differential-equations9
stochastic-differential-equations8
quarto8
Programming languages (13)
Github contributions (5)
stevengogogo/GreatestCommonDivisor
Mar 2021 - Mar 2021
Greatest common divisor of big integers
Contributions:2 releases, 38 commits, 4 PRs in 12 days
divisorgreatestjulia
stevengogogo/DSA_PriorityTree
May 2021 - Jun 2021
Contributions:48 commits, 4 PRs, 4 pushes in 27 days
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