Rockland, ME, United States of America

Penelope York

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Penelope York: Innovator in Machine Learning Decision Models

Introduction

Penelope York is a distinguished inventor based in Rockland, ME (US). She has made significant contributions to the field of machine learning, particularly in developing decision models for enterprise operations. With a total of 3 patents to her name, her work is paving the way for more efficient business practices.

Latest Patents

One of her latest patents focuses on a machine learning-based decision model designed to open and close enterprise facilities. This innovative model allows a computing platform to receive various attributes related to the operation of an enterprise facility. Based on these attributes, the platform identifies a business operation rule and determines an operational parameter. It then compares this parameter to a threshold to decide whether to keep the facility open or temporarily close it. If the operational parameter does not exceed the threshold, the system can redistribute user traffic to other open facilities, enhancing operational efficiency.

Career Highlights

Penelope York is currently employed at Bank of America Corporation, where she applies her expertise in machine learning to improve business operations. Her innovative approach has garnered attention in the industry, showcasing her ability to blend technology with practical business solutions.

Collaborations

Throughout her career, Penelope has collaborated with notable colleagues, including Stephen Thomas Shannon and James Alexander. These partnerships have further enriched her work and contributed to the development of her patented technologies.

Conclusion

Penelope York is a remarkable inventor whose work in machine learning decision models is transforming enterprise operations. Her contributions are not only innovative but also essential for the future of business efficiency.

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