Xiang-yu Li
Scientist at Pacific Northwest National Laboratory
Richland, Washington, United States
Summary
👤
Senior🎓
Top SchoolXiang-yu Li is a scientist with a decade of research experience bridging atmospheric and astrophysical fluid dynamics, now based at Pacific Northwest National Laboratory. His work spans turbulence, particle transport in stratified flows, climate projection modeling, and emerging interests in quantum computing applied to nonlinear dynamics and quantum turbulence. Trained with a Ph.D. from Nordita/KTH/Stockholm University and prior experimental work from The Chinese University of Hong Kong, he blends lab, theoretical, and computational approaches to complex geophysical and planetary problems. He has held multiple postdoctoral positions across Europe and the US, contributing to exoplanet atmosphere studies and moist convection research. Outside the lab he enjoys travel, basketball, and making connections, reflecting a collaborative, interdisciplinary style that often seeks unexpected links between quantum technology, machine learning, and classical turbulence.
10 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Theoretical and Applied Mechanics, Bachelor's Degree, Theoretical and Applied Mechanics at Lanzhou UniversityDoctor of Philosophy (Ph.D.), Atmpsheric research and Astrophysics, Doctor of Philosophy (Ph.D.), Atmpsheric research and Astrophysics at Nordita, KTH & Stockholm UniversityThe Chinese University of Hong Kong (CUHK)
English, Chinese, Swedish
Stackoverflow
3reputation
42reached
0answers
1question
Github Skills (56)
fenics10
notebook10
diffraction10
jupyter9
density-functional-theory9
symbolic-math9
python9
cas9
ipython9
mathematics9
sdk9
snl-applications9
finite-difference9
hydrodynamics9
finite-element-analysis8
Programming languages (5)
Github contributions (5)
xiang-yu/WRF-LASSO
Dec 2023 - Mar 2024
Contributions:1 release, 2 pushes, 1 branch in 2 months
xiang-yu/WRF
May 2020 - Jun 2020
The official repository for the Weather Research and Forecasting (WRF) model
Contributions:6 pushes, 1 branch in 20 days
forecastingmeteorologyatmospheric-modellinggribwrf
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