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Victor Lee

Head, Product Marketing Distinguished Graph Specialist

Dr. Victor Lee is a long-time technical and product leader at TigerGraph. He combines technical knowledge in graph analytics, databases, and ML/AI with strengths in strategic planning, communication, customer/user experience, and leadership to help to bring to market category-leading graph analytics & AI products. He is the author of Graph-Powered Analytics and Machine Learning with TigerGraph. At TigerGraph, he has previously served as Head of Product Strategy/Developer Relations and Head of Machine Learning/AI. He has degrees from UC Berkeley (BS Electrical Engineering and Computer Science), Stanford University, (MS EE) and Kent State University (PhD Computer Science, research on graph data mining). Before TigerGraph he was a visiting professor at John Carroll University.

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Diagram showing an original blue graph structure on the left, modified orange graph with warning symbols on the right, and AI in the center, illustrating adversarial graphs for AI stress-testing. TigerGraph logo is at the top left.
Fraud / Anti-Money Laundering, Graph + AI, TigerGraph
Mon 24 Nov 2025
Using Adversarial Graphs to Stress-Test AI with Competing Networks
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White and orange text on a black background reads, “How Graph Can Expose Interconnected Fraud & Hidden Links for Zions and Western Alliance.” TigerGraph logo is in the top left corner, with faint network icons in the background.
Fraud / Anti-Money Laundering
Thu 6 Nov 2025
How Graph Could Have Exposed Suspicious Loans for Zions and Western Alliance Banks
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Diagram illustrating an AML (Anti-Money Laundering) use case with money flows between user icons and warning alert symbols, all connecting to a central AML node. TigerGraph logo is in the top left corner.
Fraud / Anti-Money Laundering, Graph + AI
Mon 27 Oct 2025
How Graph-Powered AML Systems Catch What Traditional Rules Miss
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A blue graphic showing interconnected icons representing people, email, web, and data, illustrating a network. On the left are faded chart icons and the TigerGraph logo. The text reads Graph Visualization.
Graph Databases, TigerGraph
Mon 13 Oct 2025
From Data Chaos to Clarity: Why Graph Visualization Powers Smarter Decisions
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TigerGraph logo with the text Graph for LLM Observability - Agentic AI Systems on a dark abstract background with connected dots and lines.
Graph + AI, TigerGraph
Tue 7 Oct 2025
Graph for LLM Observability. The Missing Layer in Agentic AI
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A blue graphic with a faint outline of a hat and glasses in the background, TigerGraph logo in the corner, connected icons, and the text “Before You Flag It as Fraud” at the bottom.
Entity Resolution, Fraud / Anti-Money Laundering, KYC risk assessment
Fri 3 Oct 2025
Before You Flag It as Fraud, Know Who You’re Dealing With
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A graphic showing three identities with similar addresses on the left, connected by an arrow to a network of icons on the right, illustrating that fuzzy matching is insufficient for banking identity. TigerGraph logo is in the top left.
Entity Resolution, Fraud / Anti-Money Laundering, KYC risk assessment
Tue 23 Sep 2025
Why Match Scoring Fails | Graph-Powered Identity Resolution in Banking
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A comparison of flat AML/KYC data (left) showing isolated user and icons, versus graph AML/KYC (right) showing a central user icon linked to multiple bank and document icons in a network pattern. TigerGraph logo at top left.
Entity Resolution, Fraud / Anti-Money Laundering, Graph Databases
Wed 10 Sep 2025
How Graph Databases Power AML/KYC in Banking
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