Xiaoyu Xie
Research Scientist at Northwestern University
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolXiaoyu Xie is a research scientist and PhD candidate at Northwestern University with 9 years of experience applying machine learning and deep learning to scientific problems, digital twins, and computer vision. She has bridged academia and industry—building visual spam detection systems in production and developing scientific ML libraries like PyDimension for discovering ODE/PDE scaling laws from scarce data. Her work spans surrogate modeling, image and statistical analysis, and high-performance computing, and includes publications in Nature Communications and NPJ Computational Materials. At Meta and through internships at AWS and MERL she has focused on scalable model deployment and acceleration workflows. Colleagues describe her as a strong communicator who thrives in interdisciplinary teams and turns physics-informed insights into practical, open-source tools.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Engineering Mechanics, Master of Science - MS Engineering Mechanics at University of Chinese Academy of SciencesDoctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Northwestern University
Github Skills (30)
generative10
system-identification10
self-organizing-map10
pde9
measurements9
fourier-transform9
neural-operator9
uno9
partial-differential-equations9
scientific-machine-learning9
transform9
tensorly9
computational-fluid-dynamics9
deep-learning8
discovery8
Programming languages (3)
Github contributions (5)
xiaoyuxie-vico/Sci-ML-Book
Sep 2023 - May 2024
Contributions:2 PRs, 134 pushes, 3 branches in 8 months
xiaoyuxie-vico/Awesome-ML-PDE
Feb 2021 - May 2021
Resources about Machine Learning for solving PDEs.
Contributions:38 commits, 2 PRs, 37 pushes in 2 months
solvingdeep-learningmachine-learningfluid-mechanicscomputational-fluid-dynamics
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