Foster City, CA, United States of America

Craig O'connell

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Craig O'connell. Retrieved from https://idiyas.com/inventor/craig-o-connell-aecr4mnq

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

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Craig O'Connell

Introduction

Craig O'Connell is an accomplished inventor based in Foster City, California. He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on enhancing the capabilities of genetic learning systems.

Latest Patents

Craig O'Connell holds a patent for a "Method, system, and computer program product for controlling genetic learning for predictive models using predefined strategies." This patent outlines methods for controlling genetic learning for predictive models by selecting types of predictive models for various agents. The process involves generating candidate genomes, determining their fit to agent strategies, and performing training iterations to enhance the fitness of each agent's predictive model.

Career Highlights

O'Connell is currently employed at Visa International Service Association, where he applies his expertise in predictive modeling. His innovative approach has the potential to revolutionize how predictive models are developed and utilized in various applications.

Collaborations

Some of his notable coworkers include Theodore David Harris and Tatiana Korolevskaya, who contribute to the collaborative environment at Visa International Service Association.

Conclusion

Craig O'Connell's work exemplifies the intersection of technology and innovation in predictive modeling. His contributions are paving the way for advancements in genetic learning systems.

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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