Deanna Lily Emery

Title: Deanna Lily Emery: Innovator in Dataset Distinctiveness Modeling

Introduction

Deanna Lily Emery is a notable inventor based in Chicago, IL (US). She has made significant contributions to the field of dataset distinctiveness modeling, showcasing her expertise and innovative spirit. With one patent to her name, Emery is recognized for her work in developing systems and methods that enhance the understanding of intellectual property assets.

Latest Patents

Emery's patent, titled "Dataset Distinctiveness Modeling," focuses on systems and methods for evaluating the distinctiveness of datasets. This invention allows for querying databases associated with intellectual property assets, particularly trademarks. The process involves generating vector representations for both the trademark in question and the associated goods and services. A machine learning model is then trained to predict a distinctiveness score based on these vector representations, similarity metrics, and context data related to the trademarks.

Career Highlights

Deanna Lily Emery is currently employed at Moat Metrics, Inc., where she applies her innovative ideas to real-world challenges. Her work at the company emphasizes the importance of data analysis and machine learning in the realm of intellectual property. Emery's contributions have positioned her as a key player in her field, demonstrating her commitment to advancing technology and innovation.

Collaborations

Emery collaborates with talented individuals such as David Craig Andrews and Melody Denise Litovkin. These partnerships enhance her work and contribute to the development of innovative solutions in dataset distinctiveness modeling.

Conclusion

Deanna Lily Emery is a pioneering inventor whose work in dataset distinctiveness modeling has the potential to transform the way intellectual property assets are analyzed. Her innovative approach and dedication to her field make her a significant figure in the world of technology and patents.