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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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Optimized Counting of Common Neighbors/Vertices in GSQL
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Graph-Powered Analytics: Why You Need It and How to Learn It
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