Bloomington, IL, United States of America

Jeff Stoiber

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: State Farm Mutual Automobile Insurance Company. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jeff Stoiber: Innovator in Predictive Modeling Systems

Introduction

Jeff Stoiber is an accomplished inventor based in Bloomington, IL (US). He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on enhancing the accuracy and efficiency of predictive models, particularly in the context of pricing strategies.

Latest Patents

Jeff Stoiber holds a patent for "Large language modeling systems and methods for building, testing, and validating a predictive model." This invention describes a computer system designed to build, simulate, and validate predictive models. The system is programmed to analyze predictive pricing sub-models, execute a GPT model to identify discrepancies between predicted and actual pricing, and generate new model software templates based on these analyses. This innovative approach allows for the continuous improvement of predictive models through simulation and validation.

Career Highlights

Jeff Stoiber is currently employed at State Farm Mutual Automobile Insurance Company, where he applies his expertise in predictive modeling. His work at State Farm has allowed him to contribute to the development of advanced systems that enhance the company's pricing strategies and overall operational efficiency.

Collaborations

Jeff collaborates with Michael W. Fields, a fellow professional in the field. Their combined expertise fosters innovation and drives advancements in predictive modeling systems.

Conclusion

Jeff Stoiber's contributions to predictive modeling represent a significant advancement in the field. His innovative patent and work at State Farm highlight his commitment to improving predictive accuracy and efficiency.

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