New York, NY, United States of America

Katheryn Zhao

This inventor holds 2 USPTO granted patents. Top assignee: American Express Travel Related Services Company, Inc.. Active years: 2025-2026.


% Patents Active = 50.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Katheryn Zhao: Innovator in Data Standardization

Introduction

Katheryn Zhao is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of data standardization, holding 2 patents that showcase her innovative approach to utilizing machine learning for data management.

Latest Patents

One of her latest patents is titled "System and methods for automated standardization of heterogeneous data using machine learning." This invention is directed towards a large-scale data standardization system. The system is designed to receive a set of documents with records formatted according to a third-party data schema. It employs a first machine learning model to select a document from the set. Additionally, it utilizes a machine learning model to select data classification labels that are formatted according to the third-party data schema. These classification labels are associated with a set of records. Furthermore, the system employs a second machine learning model to generate a canonical data structure constructed according to a standardized data schema based on the classification labels and the records associated with them.

Career Highlights

Katheryn Zhao is currently employed at American Express Travel Related Services Company, Inc. Her work focuses on enhancing data processing and standardization through innovative technological solutions.

Collaborations

Some of her notable coworkers include Suprabhat Gurrala and Rishi Anand, who contribute to her projects and innovations in the field.

Conclusion

Katheryn Zhao is a trailblazer in the realm of data standardization, leveraging machine learning to create efficient systems. Her patents reflect her commitment to innovation and her impact on the industry is noteworthy.

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