Bloomington, IL, United States of America

Jennifer Megargell

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations by Jennifer Megargell in Vehicle Accident Analysis

Introduction

Jennifer Megargell is an accomplished inventor based in Bloomington, IL (US). She has made significant contributions to the field of vehicle accident analysis through her innovative patent. Her work focuses on utilizing machine learning models to assess potential injury risks associated with vehicle accidents.

Latest Patents

Jennifer holds a patent for "Machine learning models for vehicle accident potential injury detection." This patent describes techniques for training and executing machine learning models that determine injury probabilities based on vehicle accident data. The decision tree model constructed includes various branching criteria based on specific vehicle accident data and injury ground truth data. The model execution component is designed to execute the trained models to ascertain the probability of potential injuries linked to vehicle accidents. This innovative approach allows for the identification of target computer systems and processes to be initiated based on the injury probabilities. The model execution architecture may also utilize an event-driven system and cloud-based data storage to manage data events related to individual vehicle accidents.

Career Highlights

Jennifer is currently employed at State Farm Mutual Automobile Insurance Company, where she applies her expertise in machine learning and data analysis. Her work is pivotal in enhancing the safety and efficiency of vehicle accident analysis systems.

Collaborations

Jennifer collaborates with talented professionals such as Justin Devore and Sateesh K Nallamothu, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Jennifer Megargell's contributions to the field of vehicle accident analysis through her innovative patent demonstrate her commitment to improving safety through technology. Her work exemplifies the intersection of machine learning and practical applications in the automotive industry.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…