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For the Inventor, By the Inventor

White Plains, NY, United States of America

Jason Jerard Kaufman

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.4

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:

goldMedal5 out of 24 
 
Dstillery, Inc.
 patents

Years Active: 2021-2025

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5 patents (USPTO):Explore Patents
1. 12373738 - Transformers adapted for predictive targeting based on web browsing history (2025-07-29),
2. 12182723 - Iterative online learning to improve targeted advertising (2024-12-31),
3. 12045703 - Artificial intelligence and/or machine learning models trained to predict user actions based on an embedding of network locations (2024-07-23),
4. 11699109 - Artificial intelligence and/or machine learning models trained to predict user actions based on an embedding of network locations (2023-07-11),
5. 11068935 - Artificial intelligence and/or machine learning models trained to predict user actions based on an embedding of network locations (2021-07-20),

Title: Jason Jerard Kaufman: Innovator in Predictive Targeting Technologies

Introduction

Jason Jerard Kaufman is a notable inventor based in White Plains, NY (US). He has made significant contributions to the field of predictive targeting technologies, holding a total of five patents. His work focuses on enhancing targeted advertising through advanced computational methods.

Latest Patents

Kaufman's latest patents include innovative methods for transformers adapted for predictive targeting based on web browsing history. These methods involve training a transformer with website visitation records to predict missing websites in a sequence. Additionally, he has developed a second transformer model that predicts the probability of conversion events based on conversion data. Another significant patent involves iterative online learning to improve targeted advertising by accessing web browsing history, generating embedding vectors, and updating model parameters based on conversion rates.

Career Highlights

Kaufman is currently employed at Dstillery, Inc., where he applies his expertise in predictive analytics and machine learning. His work has been instrumental in advancing the capabilities of targeted advertising, making it more efficient and effective.

Collaborations

Some of his notable coworkers include Amelia Grieve White and Melinda Han Williams, who contribute to the innovative environment at Dstillery, Inc.

Conclusion

Jason Jerard Kaufman is a prominent figure in the realm of predictive targeting technologies, with a strong portfolio of patents that reflect his innovative spirit and dedication to advancing the field. His contributions continue to shape the future of targeted advertising.

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