Baton Rouge, LA, United States of America

Paul Matthew Ellender, Jr

This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignee: Other. Active years: 2022-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Matthew Ellender, Jr. Retrieved from https://idiyas.com/inventor/paul-matthew-ellender-jr

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

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:

goldMedal2 out of 834,570 
Other
 patents
where one patent can have more than one assignee

Years Active: 2022-2024

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4 patents (USPTO):Explore Patents

Title: Paul Matthew Ellender, Jr: Innovator in Machine Learning for Advocacy Campaigns

Introduction

Paul Matthew Ellender, Jr. is an accomplished inventor based in Baton Rouge, LA (US). He has made significant contributions to the field of machine learning, particularly in the context of advocacy campaigns. With a total of 4 patents to his name, Ellender's work focuses on enhancing the effectiveness of communication strategies for organizations.

Latest Patents

Ellender's latest patents include innovative systems that utilize machine-learning models to create messages for advocacy campaigns. One of his notable inventions is a system that generates alerts for issues of importance to organizations. This system helps organizations avoid running unsuccessful campaigns that could burden or bore their target audience. By maintaining a history of previous campaigns and their success outcomes, the system employs a computational model to evaluate whether a new campaign should be initiated based on a score derived from various criteria.

Another significant patent involves an advocacy system that leverages trained machine learning models to craft messages aimed at achieving desired outcomes for organizations. These outcomes may include encouraging advocates to communicate with policymakers or prompting policymakers to act in favor of the organization's position. The machine learning models are designed to select message characteristics based on personal profiles of senders and recipients, thereby optimizing the effectiveness of the communication.

Career Highlights

Throughout his career, Ellender has demonstrated a commitment to advancing the use of technology in advocacy. His innovative approaches have positioned him as a key figure in the intersection of machine learning and organizational communication.

Collaborations

Ellender has collaborated with notable professionals in his field, including Vladimir Eidelman and Daniel Argyle. These partnerships have contributed to the development and refinement of his patented technologies.

Conclusion

Paul Matthew Ellender, Jr. is a pioneering inventor whose work in machine learning has the potential to transform advocacy campaigns. His innovative patents reflect a deep understanding of both technology and organizational needs, making him a valuable contributor to 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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