Toronto, Canada

Ling Tao

This inventor holds 1 USPTO granted patent and 3 published patent applications, plus 4 CIPO patents. Top assignee: The Toronto-Dominion Bank. Active years: 2022.

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ling Tao - Innovator in Event Prediction Technology

Introduction

Ling Tao is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning and financial technology. His innovative approach focuses on predicting non-sufficient funds events, which can greatly benefit both financial institutions and their clients.

Latest Patents

Ling Tao holds a patent for a method titled "Event prediction using classifier as coarse filter." This patent describes a process that involves obtaining account data associated with a financial account. The method utilizes a non-sufficient funds classifier, which is a machine learning classifier designed to evaluate various parameters of the account data. If the classifier determines that the account is likely to experience a non-sufficient funds event, it forecasts the account balance and sends a notification to the associated client device.

Career Highlights

Ling Tao is currently employed at the Toronto-Dominion Bank, where he applies his expertise in machine learning to enhance financial services. His work is instrumental in developing predictive tools that help clients manage their finances more effectively.

Collaborations

Ling collaborates with talented colleagues, including Sangeeta Mathew and Darius Braziunas. Their combined efforts contribute to the advancement of innovative solutions within the bank.

Conclusion

Ling Tao's work in event prediction technology exemplifies the intersection of finance and innovation. His contributions are paving the way for smarter financial management solutions that benefit both institutions and clients alike.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
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