Chao Shang
Senior Applied Scientist at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolChao Shang is a Senior Applied Scientist based in Seattle with nine years of research and industry experience at organizations including AWS, JD.com, IBM, and the University of Connecticut. His work centers on natural language processing and deep graph learning, with particular strength in leveraging large language models, knowledge graphs, question answering, taxonomy construction, and graph generation at scale. He transitioned from academic research (Ph.D. in Computer Science) into production-focused applied science roles, bringing a rigorously experimental mindset to deployable ML solutions. At AWS he advances scalable LLM- and graph-based systems, while earlier internships at top labs (MIT‑IBM Watson, IBM T.J. Watson) underscore a sustained track record of collaborative research. Colleagues value him for bridging theoretical methods and practical system-building across text and graph modalities.
9 years of coding experience
10 years of employment as a software developer
Visiting Student Computer Science, Visiting Student Computer Science at University of Southern CaliforniaMaster's Degree Computer Science, Master's Degree Computer Science at Beijing University of Posts and TelecommunicationsDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Connecticut
Stackoverflow
1reputation
0reached
0answers
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Github Skills (15)
graph-convolutional-networks9
knowledge-graph9
convolution9
graph8
pytorch8
gnn8
graph-neural-network7
time-series7
jekyll6
lda3
relational3
taxonomy2
acl2
cross-domain2
deep-learning1
Programming languages (1)
Github contributions (5)
chaoshangcs/GTS
Jan 2021 - Nov 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
Contributions:34 commits, 3 PRs, 32 pushes in 10 months
graphtime-series
JD-AI-Research-Silicon-Valley/SACN
Nov 2018 - Feb 2021
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Contributions:7 commits, 31 pushes, 1 branch in 2 years 3 months
knowledge-graph-completionknowledge-graphpytorchgraph-convolutional-networkssacn
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