New York, NY, United States of America

Jacob Albertson

USPTO Granted Patents = 13 


Average Co-Inventor Count = 4.9

ph-index = 6

Forward Citations = 591(Granted Patents)


Company Filing History:


Years Active: 2015-2024

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13 patents (USPTO):Explore Patents

Title: Innovations of Jacob Albertson

Introduction

Jacob Albertson is a prominent inventor based in New York, NY, known for his significant contributions to data analysis and cybersecurity. With a total of 13 patents to his name, he has made a substantial impact in the field of technology.

Latest Patents

Among his latest patents is a system and user interface designed for holistic, data-driven investigation of bad actor behavior. This innovative system focuses on clustering and scoring related data, allowing for efficient analysis and tagging of data structures. The automated analysis enables analysts to generate scores, reports, alerts, or conclusions quickly, facilitating the evaluation of data clusters in contexts such as risky trading investigations. Another notable patent is a cybersecurity sharing and identification system, which describes techniques for sharing security data among entities. This system allows for the automatic sharing and investigation of security rules and attack data, enhancing the ability to combat security threats.

Career Highlights

Jacob Albertson is currently employed at Palantir Technologies Inc., where he continues to develop cutting-edge technologies that address complex data challenges. His work has been instrumental in advancing the capabilities of data analysis and cybersecurity.

Collaborations

Throughout his career, Jacob has collaborated with notable colleagues, including Peter Maag and Melody Hildebrandt. These partnerships have contributed to the innovative solutions he has developed.

Conclusion

Jacob Albertson's work exemplifies the intersection of technology and innovation, particularly in data analysis and cybersecurity. His patents reflect a commitment to enhancing the efficiency and effectiveness of data-driven investigations.

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