Xiaoyu Xie
Research Scientist at Meta
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolXiaoyu Xie is a research scientist at Meta in Bellevue, WA, bringing 8 years of combined research and industry experience, specializing in scientific machine learning and computer vision. She focuses on discovering scientific knowledge from scarce data (ODEs/PDEs, scaling laws, dimensionless numbers), building digital twins and surrogate models using physics-based and data-driven approaches. In industry, she has designed and deployed visual spam detection systems for images, videos, and live streams, with experience in online training, monitoring, and evaluation. She is an active open-source contributor, independently developing PyDimension to enable discovery of scientific knowledge from limited data, and has authored multiple papers in top journals such as Nature Communications. She is a Northwestern PhD candidate in Mechanical Engineering, with prior roles including AWS ML acceleration internship, Mitsubishi Electric Research Laboratories, and has worked as a Computer Vision Engineer at Momo Technology. Based in Bellevue, she combines rigorous research with hands-on software development and cross-disciplinary collaboration.
8 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 (35)
equations10
gpt-210
generative10
gpt310
system-identification10
self-organizing-map10
pde9
measurements9
re-implementation9
fourier-transform9
neural-operator9
uno9
partial-differential-equations9
scientific-machine-learning9
transform9
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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