
About
Stanley KOK is an Assistant Professor at the Department of Information Systems & Analytics, School of Computing, National University of Singapore (NUS). He also serves as the Associate Director of the NUS AI Lab. He holds a Ph.D. in Computer Science from the University of Washington and a combined A.B./S.cB. in Computer Science & Economics from Brown University. His research focuses on artificial intelligence, machine learning, and their applications in e-commerce, fintech, healthcare, and social networks. He has led projects on AI-driven product categorization and interpretable healthcare models.
Education:
- Ph.D., Computer Science, University of Washington, 2010
- Combined A.B./S.cB., Computer Science & Economics, Brown University, 1999
Research Interests:
- AI/ML applications in e-commerce and healthcare
- Machine Translation for Product Categorization
- Interpretable Machine Learning Models
- Social Network Analysis
Recent work emphasizes scalable AI solutions for product taxonomy (e.g., translating product descriptions to categories) and healthcare predictive systems. His articles span topics like graph neural networks for credit scoring and accountable relational triple extraction. Awards include teaching excellence and research grants from NUS and industry partners.
Advising and Grants:
- Guided over 20 students to academic and industry roles
- Recipient of National Innovation Challenge grant (2019) and Rakuten collaborations
Labs/Teams: Leads the SGEMS lab, focusing on energetic and motivated student-driven AI research. Collaborates with NUS AI Lab and industry partners like Rakuten.
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