San Jose, CA, United States of America

Gloria Zhou

This inventor holds 1 USPTO granted patent. Top assignee: Zs Associates, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gloria Zhou. Retrieved from https://idiyas.com/inventor/gloria-zhou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Gloria Zhou: Innovator in Machine Learning Architecture

Introduction

Gloria Zhou is a prominent inventor based in San Jose, California. She has made significant contributions to the field of machine learning, particularly in the healthcare sector. Her innovative work focuses on filtering entity profiles through advanced data analysis techniques.

Latest Patents

Gloria Zhou holds a patent for a "Multi-model machine learning architecture for filtering entity profiles." This patent discloses methods and systems for filtering entity profiles by receiving clinical data and online interaction data from various sources. The process involves generating entity profiles, calculating clinical and online interaction metrics, and executing models to generate influence scores for these profiles. The invention aims to enhance the selection of relevant entity profiles based on specific criteria.

Career Highlights

Gloria Zhou is currently employed at ZS Associates, Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work has garnered attention for its potential to improve data-driven decision-making in the medical field.

Collaborations

Some of her notable coworkers include Siddharth Kumar and Krishnakalyan A. They collaborate on various projects, contributing to advancements in machine learning and data analysis.

Conclusion

Gloria Zhou's contributions to machine learning and her innovative patent demonstrate her commitment to advancing technology in healthcare. Her work continues to influence the way data is utilized for better decision-making in medical contexts.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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