Singapore, Singapore

Vanessa Tay Jing Hui

This inventor holds 1 USPTO granted patent. Top assignee: Visa International Service Association. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vanessa Tay Jing Hui. Retrieved from https://idiyas.com/inventor/vanessa-tay-jing-hui

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Vanessa Tay Jing Hui

Introduction

Vanessa Tay Jing Hui is a notable inventor based in Singapore, recognized for her contributions to the field of machine learning. She has developed innovative methods that enhance the identification of propensities using advanced algorithms. Her work reflects a commitment to leveraging technology for practical applications.

Latest Patents

Vanessa holds a patent for a "Method, system, and computer program product for identifying propensities using machine-learning models." This patent outlines a comprehensive approach that includes inputting a first set of data into a model, generating similarity scores for users, and determining relevance scores for various parameters. The method further involves creating a space-partitioning data structure and calculating feature distances to generate overall similarity scores for users.

Career Highlights

Vanessa is currently employed at Visa International Service Association, where she applies her expertise in machine learning to develop innovative solutions. Her role at Visa allows her to work on cutting-edge projects that have a significant impact on the financial services industry.

Collaborations

Some of her coworkers include Nguyen Thuy Ngoc and Nguyen Thi Tu Anh, who contribute to the collaborative environment that fosters innovation and creativity within the organization.

Conclusion

Vanessa Tay Jing Hui's work exemplifies the intersection of technology and practical application, showcasing her innovative spirit and dedication to advancing machine learning methodologies. Her contributions are paving the way for future developments in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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