Leesburg, VA, United States of America

Peter Gallagher McNeil

This inventor holds 4 USPTO granted patents. Top assignee: Zix Corporation. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Peter Gallagher McNeil. Retrieved from https://idiyas.com/inventor/peter-gallagher-mcneil

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


% Patents Active = 50.0

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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4 patents (USPTO):Explore Patents

Title: Innovations by Peter Gallagher McNeil

Introduction

Peter Gallagher McNeil is an accomplished inventor based in Leesburg, VA (US). He has made significant contributions to the field of machine learning, particularly in the context of electronic messaging systems. With a total of two patents to his name, McNeil's work focuses on enhancing the capabilities of machine learning classification systems.

Latest Patents

McNeil's latest patents include systems and methods for the determination, description, and use of feature sets for machine learning classification systems. These innovations are particularly relevant for electronic messaging systems that employ machine learning classification. The patents detail systems and methods for dynamically defining features for machine learning models in classification systems. Such systems and methods can be effectively applied to train and utilize machine learning models in various contexts, including email classification systems.

Career Highlights

Peter Gallagher McNeil is currently associated with Zix Corporation, where he continues to develop innovative solutions in the realm of machine learning. His expertise in this area has positioned him as a valuable asset to the company and the broader tech community.

Conclusion

Peter Gallagher McNeil's contributions to machine learning and electronic messaging systems demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities involved in classification systems, paving the way for future advancements 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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