Fanyi Xiao

AI Research Scientist at Meta

Menlo Park, California, United States
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Summary

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Rockstar
🎓
Top School
Fanyi Xiao is an AI research scientist based in Menlo Park with a decade of experience bridging academic research and industry delivery. Currently at Meta, she previously drove applied ML solutions at AWS and completed a PhD in computer science at UC Davis, building on earlier robotics and mechatronics training from Carnegie Mellon. Her research internships at Facebook AI, NVIDIA, and Disney Research produced CVPR-level work in action detection and weakly-supervised language grounding, reflecting strong computer vision and multimodal expertise. Comfortable moving projects from novel algorithms to production-ready systems, she blends deep technical rigor with applied problem solving. Colleagues describe her as someone who pairs scholarly curiosity with pragmatic engineering to make research impact at scale.
code10 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Davis
bookBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Central South University
bookMaster of Science (MS), Mechatronics, Robotics, and Automation Engineering, Master of Science (MS), Mechatronics, Robotics, and Automation Engineering at Carnegie Mellon University
languagesEnglish, Chinese
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Github Skills (23)

pytorch10
realtime10
video-understanding10
instance-segmentation10
parsing8
multipath8
scoring7
semantic-segmentation7
object-detection6
vscode6
deep-learning6
video-language5
visual-studio-code4
mask4
docker4

Programming languages (4)

DockerfileLuaMATLABPython

Github contributions (5)

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fanyix/fanyix.github.io

Jan 2016 - Oct 2022

Contributions:115 commits, 120 pushes, 1 branch in 6 years 10 months
fanyix/SlowFast

Jun 2020 - Aug 2020

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Contributions:13 commits, 12 pushes in 2 months
video-understanding
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