Kaiyuan Zhang

Assistant Professor at Perplexity

New York City Metropolitan Area United States
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Summary

👤
Senior
🎓
Top School
Kaiyuan Zhang is a researcher and PhD candidate at Purdue who designs security and privacy foundations for real-world agentic AI systems, with eight years of experience bridging academic rigor and product-facing research. He has worked across industry labs—Perplexity, Microsoft Research, AWS Bedrock, and NEC Labs—specializing in threats like prompt injection and alignment/mechanistic interpretability of LLM-driven agents. His publications and policy contributions include responses to NIST/CAISI and practical tooling for safer browsing agents, reflecting both theoretical depth and applied impact. Based in West Lafayette, he combines hands-on experiments with frontier models and an ability to translate findings into industry guidance, making him a go-to researcher for building secure, deployable AI agents.
code8 years of coding experience
bookDoctor of Philosophy Computer Science, Machine Learning and Computer Security, Doctor of Philosophy Computer Science, Machine Learning and Computer Security at Purdue University
languagesEnglish, Chinese
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Stackoverflow

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Github Skills (38)

graph-embedding10
adversarial-learning10
graph-representation-learning10
text-analytics9
text-analysis9
security9
graph9
language-modeling9
graph-convolutional-networks8
machine-learning8
graph-algorithms7
text-classification7
word-embeddings7
natural-language-processing7
inverted-index7

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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A curated list of awesome graph representation learning.
Contributions:7 commits, 1 PR, 6 pushes in 1 year 7 months
graph-representation-learninggraphgraph-neural-networksgraph-embeddinggraph-convolutional-networks
Contributions:16 commits, 22 pushes, 1 branch in 2 months
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