Xiaoyun Wang
Senior GenAI Engineer at NVIDIA
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXiaoyun Wang is a Senior GenAI Engineer at NVIDIA with five years of industry experience and a PhD in Computer Science from UC Davis, combining deep research rigor with production-facing AI infrastructure work. She progressed from applied scientist roles into senior GenAI engineering, contributing to GPU-accelerated graph algorithms and scalable defenses/attacks on graph neural networks during multiple NVIDIA internships and research positions. Her background in statistics and applied mathematics supports strong quantitative modeling—evident in past research that achieved 10X–56X speedups and high-accuracy solutions for social network problems. Based in Sunnyvale, she blends systems-level performance optimization with practical ML applications, often turning novel research ideas into highly efficient implementations. An under-the-radar strength is her repeated success in parallelizing and scaling algorithms, expanding problem sizes by orders of magnitude while maintaining real-world impact.
5 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, DavisBachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at Sun Yat-sen University
English, Chinese, Chinese
Github Skills (66)
graph-algorithms10
memgraph10
random-walk10
graph10
nvidia10
cuda10
privacy-protection10
federated-learning10
python9
distributed-computing9
gpu9
complex-networks9
rapids9
runtime-environment9
graph-analysis9
Programming languages (3)
Github contributions (5)
wangxiaoyunNV/NVFlare
Jun 2023 - Oct 2023
NVIDIA Federated Learning Application Runtime Environment
Contributions:59 pushes, 1 branch in 4 months
wangxiaoyunNV/dgl
Apr 2022 - Sep 2022
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Contributions:2 PRs, 47 pushes, 1 branch in 4 months
pytorchpythondeep-learningmachine-learninggraph
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