Cupertino, CA, United States of America

Grace Sytin Shih

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Grace Sytin Shih. Retrieved from https://idiyas.com/inventor/grace-sytin-shih

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 17.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Grace Sytin Shih: Inventor of Personalized, Structured Content Generation

Introduction

Grace Sytin Shih is an inventor associated with Cupertino, California, and Google Inc. Her patent work concerns using generative models and historical user data to create personalized, structured content.

Latest Patents

The available information identifies one patent for Shih: “Generation of Personalized and Structured Content Using a Collaborative Online Generator.” The invention describes systems and methods that present a user interface, receive a prompt, and send it to a machine-learned generative model trained to process language prompts. After receiving the model’s output, the system modifies it based at least in part on historical data associated with the user, then presents the personalized result through the interface. Shih is credited with 1 patent.

Career Highlights

Shih’s listed company affiliation is Google Inc. Her patent reflects work on adapting generated language content to individual users through collaborative online tools and user-history data.

Collaborations

The provided information lists Tomer Aberbach and Gregory George Galante as Shih’s coworkers. Their names are associated with her professional context, though no specific roles in the patent are provided.

Conclusion

Grace Sytin Shih’s identified patent focuses on personalizing structured content generated from user prompts, combining machine-learned language generation with historical user data.

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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