Boucherville, Canada

Maxime Lafleur-forcier

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: The Toronto-Dominion Bank. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maxime Lafleur-forcier. Retrieved from https://idiyas.com/inventor/maxime-lafleur-forcier

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Maxime Lafleur-Forcier: Innovator in Machine Learning for Risk Assessment

Introduction

Maxime Lafleur-Forcier is a notable inventor based in Boucherville, Canada. He has made significant contributions to the field of machine learning, particularly in the area of risk assessment for insurance claims. With a total of 2 patents, his work is paving the way for more accurate predictions in the insurance industry.

Latest Patents

Maxime's latest patents include a "System and method for determining a driver score using machine learning." This innovative system utilizes a computer-implemented method to assess risk by analyzing vehicle behavior data over a defined collection period. By employing a supervised learning prediction model, it generates a predicted value of the frequency of expected claim submissions for policyholders. The method also incorporates a Shapley estimate to evaluate the contribution of each feature of the behavior data to the predicted value, ultimately calculating a risk score based on these contributions.

Another significant patent is the "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. It utilizes two machine learning models to forecast claim frequency and severity, applying historical data to enhance accuracy. The expected loss is then determined by multiplying the predictions from both models, providing a comprehensive assessment for the insurance sector.

Career Highlights

Maxime Lafleur-Forcier is currently employed at the Toronto-Dominion Bank, where he applies his expertise in machine learning to improve risk assessment methodologies. His work is instrumental in enhancing the bank's capabilities in predicting insurance claims and managing associated risks.

Collaborations

Maxime collaborates with talented individuals such as Xuling Wang and Bruno Veillete-Cossette. Their combined efforts contribute to the advancement of innovative solutions in the field of machine learning and risk assessment.

Conclusion

Maxime Lafleur-Forcier is a distinguished inventor whose work in machine learning is transforming the landscape of risk assessment in the insurance industry. His patents reflect a commitment to innovation and accuracy, making significant strides in predicting insurance claims.

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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