MONTREAL, Canada

Robert Chamoun

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: Robert Chamoun. Retrieved from https://idiyas.com/inventor/robert-chamoun

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 Contributions of Robert Chamoun

Introduction

Robert Chamoun is a notable inventor based in Montreal, Canada. He has made significant strides in the field of machine learning, particularly in predicting expected losses for claim transactions. His work is instrumental in enhancing the efficiency of financial assessments within the insurance sector.

Latest Patents

Robert Chamoun holds a patent for a "System and method for determining expected loss using a machine learning framework." This innovative computing device predicts the expected loss for a set of claim transactions by utilizing two machine learning models. The first model forecasts claim frequency based on historical data and segment types, while the second model estimates claim severity. By combining the predictions from both models, the device effectively determines the expected loss over a specified time period.

Career Highlights

Robert Chamoun is currently employed at the Toronto-Dominion Bank, where he applies his expertise in machine learning to improve financial forecasting and risk assessment. His contributions have been vital in developing advanced analytical tools that support the bank's operations.

Collaborations

Robert has collaborated with talented colleagues such as Mathieu Jacob and Bruno Veillete-Cossette. Their teamwork has fostered an environment of innovation and has led to the successful implementation of various projects within the bank.

Conclusion

Robert Chamoun's work exemplifies the intersection of technology and finance, showcasing how machine learning can revolutionize the way expected losses are predicted. His contributions are paving the way for more accurate and efficient financial assessments in the industry.

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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