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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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Infographic by TigerGraph showing how Entity Resolution Gaps in Fraud and AML Detection cause duplicate identities and coverage gaps, illustrated with network diagrams, magnifying glass, and caution icons. Text highlights graph search benefits.
Entity Resolution, Fraud / Anti-Money Laundering
Thu 26 Feb 2026
When Entity Resolution Stops Short, Graph Search Exposes Duplicate Networks and Coverage Gaps
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A flowchart shows money moving through a respondent bank to multiple correspondent banks, ending at a beneficiary bank. The image highlights the process, with the TigerGraph logo and title text about banking escalations and chain evidence.
Finance, Fraud / Anti-Money Laundering, Graph Databases
Tue 24 Feb 2026
How to Keep Correspondent Banking Escalations Reviewable with Chain Evidence
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Flowchart showing a customer connecting through a company, bank, and offshore entity to a sanctioned entity, illustrating indirect sanctions exposure. TigerGraph logo appears in the top left corner.
Fraud / Anti-Money Laundering
Thu 19 Feb 2026
How to Find Indirect Sanctions Exposure by Following Connection Paths
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A flowchart with blue circles shows Entity A linked to an Owner, who is then linked to a Sanctioned Entity. Text reads: Proximity Risk in KYC and KYB: Why Second-Degree Connections Change the Outcome. TigerGraph logo at top left.
Entity Resolution, KYC risk assessment, Risk and Fraud Analytics
Thu 19 Feb 2026
Proximity Risk in KYC and KYB: Why Second-Degree Connections Change the Outcome
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A graphic shows interconnected icons representing data nodes and users, with one highlighted in orange, symbolizing anomaly detection. Text reads: Anomaly vs. Outlier Detection: How Hybrid Graph+Vector Search Discovers What Others Miss. TigerGraph logo appears.
Fraud / Anti-Money Laundering, Graph + AI, Graph Databases
Tue 27 Jan 2026
Anomaly vs. Outlier Detection: How Hybrid Graph+Vector Search Discovers What Others Miss
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Orange and black TigerGraph banner showing folders with icons for databases and networks, connected by lines to a central user icon, illustrating connections. Text reads: Practical Graph Database Schema Design: Modeling Connections for Speed and Clarity.
Graph Databases, TigerGraph
Thu 8 Jan 2026
Practical Graph Database Schema Design: Modeling Connections for Speed and Clarity
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Flowchart showing LangChain connecting to a database and feeding information to a human head with AI symbols, then to a workflow diagram. TigerGraph logo is at the top left. Text reads: What is LangChain? A Practical, Look at How It Actually Works.
Graph + AI
Wed 17 Dec 2025
What is LangChain: A Practical, Grounded Look at How it Actually Works
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A blue graphic with a human head silhouette on the left, brain icon inside, and a network of connected icons on the right representing email, money, person, mobile, document, and database. Text: Understanding AI Limitations.
Graph + AI
Thu 11 Dec 2025
Understanding the Limitations of AI in Enterprise Systems
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