San Francisco, CA, United States of America

Michael Legore


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2022

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2 patents (USPTO):Explore Patents

Title: Michael Legore: Innovator in Machine Learning and Digital Content Threat Mitigation

Introduction

Michael Legore is a prominent inventor based in San Francisco, CA, known for his contributions to machine learning and digital content threat detection. With a focus on innovative systems and methods, he has made significant strides in the field of digital content clustering and threat remediation. His work is characterized by a commitment to enhancing the security and efficiency of digital platforms.

Latest Patents

Michael Legore holds 2 patents that showcase his expertise in machine learning-based systems. His latest patents include "Systems and methods for machine learning-based digital content clustering, digital content threat detection, and digital content threat remediation in machine learning-based digital threat mitigation platform." This patent describes a machine learning-based system that generates embedding values for content data, implements unsupervised machine learning models, and predicts distinct clusters of content. It also assesses these clusters and associates metadata to classify content as either digital abuse/digital fraud or not. Another patent with a similar title further emphasizes the innovative approaches he has developed for content threat assessment and mitigation.

Career Highlights

Michael Legore is currently employed at Sift Science, Inc., where he applies his knowledge and skills to advance the company's mission in digital threat mitigation. His work involves developing cutting-edge technologies that leverage machine learning to enhance digital security.

Collaborations

Throughout his career, Michael has collaborated with talented individuals such as Wei Liu and Jintae Kim. These partnerships have contributed to the development of innovative solutions in the realm of digital content threat detection.

Conclusion

Michael Legore's contributions to machine learning and digital content security are noteworthy. His patents reflect a deep understanding of the complexities of digital threats and a commitment to creating effective solutions. As he continues to innovate, his work will undoubtedly have a lasting impact on the field.

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