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For the Inventor, By the Inventor

Moraga, CA, United States of America

Andrew Thomson

This inventor holds 5 USPTO granted patents and 2 published patent applications. Top assignee: Adobe, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Thomson. Retrieved from https://idiyas.com/inventor/andrew-thomson-wcsrnk3g

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

USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 8.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:

goldMedal5 out of 7,289 
 
Adobe, Inc.
 patents

Years Active: 2023-2026

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5 patents (USPTO):Explore Patents
1. 12748809 - Systems and methods for document generation (2026-09-29),
2. 12739217 - Generating editable email components utilizing a constraint-based knowledge representation (2026-09-15),
3. 12626124 - Dynamic user interface and machine learning tools for generating digital content and multivariate testing recommendations (2026-05-12),
4. 12423371 - Utilizing machine learning models to process low-results web queries and generate web item deficiency predictions and corresponding user interfaces (2025-09-23),
5. 11836172 - Facilitating generation of data visualizations via natural language processing (2023-12-05),

Title: Inventor Spotlight: Andrew Thomson

Introduction

Andrew Thomson is an innovative inventor based in Concord, CA, known for his contributions to the field of data visualization. With one patent to his name, he demonstrates a strong commitment to enhancing how data is presented and understood through advanced technologies.

Latest Patents

Thomson's notable patent is titled "Facilitating generation of data visualizations via natural language processing." This patent encompasses methods, computer systems, computer-storage media, and graphical user interfaces that facilitate the generation of data visualizations. The process involves obtaining dataset intent data, visual design intent data, and insight intent data derived from user input in a natural language query. The invention generates a set of candidate intent recommendations that are evaluated against visualization templates to determine their eligibility. Ultimately, the best candidate intent recommendation and corresponding visualization template are selected based on scoring, ensuring effective and accurate data representation.

Career Highlights

Currently employed at Adobe, Inc., Andrew Thomson plays a vital role in pushing the boundaries of data visualization technology. His innovative approach has helped improve user experience, making complex data more accessible through intuitive visual representations.

Collaborations

While working at Adobe, Thomson has collaborated with talented coworkers such as Fan Du and Zening Qu. Together, they contribute to groundbreaking projects and enhance the overall capabilities of their team, combining their expertise to produce highly functional and user-centric solutions.

Conclusion

Andrew Thomson's dedication to innovation in data visualization exemplifies the potential of leveraging natural language processing to improve user interaction with data. His work at Adobe, alongside skilled colleagues, continues to push the envelope in technological advancements, making significant contributions to the field and enhancing how information is represented and interpreted.

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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