Fanyi Xiao
AI Research Scientist at Meta
Menlo Park, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFanyi 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.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, DavisBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Central South UniversityMaster of Science (MS), Mechatronics, Robotics, and Automation Engineering, Master of Science (MS), Mechatronics, Robotics, and Automation Engineering at Carnegie Mellon University
English, Chinese
Github Skills (31)
pytorch10
realtime10
segmentation10
instance-segmentation10
efficientnet10
video-understanding9
deep-learning9
arxiv9
transfer-learning9
visual-recognition9
scene9
scoring7
semantic-segmentation7
machine-learning7
parsing7
Programming languages (4)
Github contributions (5)
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
pytorchunderstandingpythonartstate-of-the-art
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