MONTREAL, Canada

Mathieu Jacob

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: The Toronto-Dominion Bank. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mathieu Jacob. Retrieved from https://idiyas.com/inventor/mathieu-jacob

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Mathieu Jacob

Introduction

Mathieu Jacob is a notable inventor based in Montreal, Canada. He has made significant contributions to the field of machine learning, particularly in predicting expected losses for claim transactions. His innovative approach combines advanced technology with practical applications in the banking sector.

Latest Patents

Mathieu Jacob holds a patent for a "System and method for determining expected loss using a machine learning framework." This invention involves a computing device that predicts expected loss for a set of claim transactions. The device utilizes two machine learning models: the first predicts claim frequency based on historical data, while the second predicts claim severity. By applying the product of these predictions, the device determines the expected loss over a specified time period.

Career Highlights

Currently, Mathieu Jacob is employed at the Toronto-Dominion Bank, where he applies his expertise in machine learning to enhance financial services. His work focuses on improving the accuracy of loss predictions, which is crucial for effective risk management in banking.

Collaborations

Mathieu collaborates with talented professionals such as Xuling Wang and Robert Chamoun. Together, they work on innovative projects that leverage machine learning to solve complex problems in the financial sector.

Conclusion

Mathieu Jacob's contributions to machine learning and his innovative patent demonstrate his commitment to advancing technology in the banking industry. His work not only enhances the accuracy of financial predictions but also showcases the potential of machine learning in practical applications.

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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