West New York, NJ, United States of America

Yibei Mcdermott

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Jpmorgan Chase Bank, N.a.. 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: Yibei Mcdermott: Innovator in Predictive Bond Pricing

Introduction

Yibei Mcdermott is a notable inventor based in West New York, NJ (US). She has made significant contributions to the field of finance through her innovative patent related to bond pricing. Her work focuses on enhancing the accuracy of predicting bond prices, which is crucial for financial institutions and investors alike.

Latest Patents

Yibei holds a patent titled "Systems and methods for generating structured datasets for predicting bond price with improved accuracy." This patent outlines systems and methods that involve constructing a price function for each bond within various clusters, including a target cluster. The process includes training a machine learning model to identify causes of erroneous price predictions and generating structured datasets based on feedback from the model. This innovative approach aims to improve the reliability of bond price predictions.

Career Highlights

Yibei Mcdermott is currently employed at JPMorgan Chase Bank, N.A., where she applies her expertise in predictive analytics and machine learning. Her role at such a prestigious financial institution underscores her capabilities and the value of her contributions to the field.

Collaborations

Yibei has collaborated with notable colleagues, including Freddy Lecue and Leonidas Tsepenekas. These partnerships highlight the collaborative nature of innovation in the financial technology sector.

Conclusion

Yibei Mcdermott's work in developing systems for predicting bond prices showcases her innovative spirit and dedication to improving financial analytics. Her contributions are paving the way for more accurate financial predictions, benefiting both institutions and investors.

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