San Francisco, CA, United States of America

Robert Howard Brill, Jr

This inventor holds 1 USPTO granted patent. Top assignee: Tableau Software, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Robert Howard Brill, Jr. Retrieved from https://idiyas.com/inventor/robert-howard-brill-jr

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 = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Robert Howard Brill, Jr.

Introduction

Robert Howard Brill, Jr. is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing user interfaces for model generation, making complex processes more accessible to users.

Latest Patents

Brill holds a patent for a "User interface for machine learning model generation." This invention involves a computing device that displays a workflow with multiple steps. Upon user selection of a step, the device presents a list of data sources. It allows users to specify a target data field and a modeling objective, automatically executing a model to predict outcomes based on the input. The results are displayed, and users can deploy the model as needed.

Career Highlights

Brill is currently employed at Tableau Software, Inc., where he continues to innovate in the realm of data visualization and machine learning. His work at Tableau has positioned him as a key player in the development of user-friendly interfaces that facilitate complex data analysis.

Collaborations

Some of Brill's notable coworkers include Nathan Robert Mannheimer and Jun Ho Kim. Their collaborative efforts contribute to the advancement of technology in their respective fields.

Conclusion

Robert Howard Brill, Jr. exemplifies the spirit of innovation in technology, particularly in machine learning and user interface design. His contributions are paving the way for more intuitive and effective data modeling solutions.

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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