Belmont, CA, United States of America

Sarah Lerner

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sarah Lerner. Retrieved from https://idiyas.com/inventor/sarah-lerner

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sarah Lerner: Inventor in Virtual-Space Navigation

Introduction

Sarah Lerner is an inventor associated with Belmont, California, and International Business Machines Corporation. Her patent work addresses how users can be placed within shared virtual spaces.

Latest Patents

Lerner is associated with 1 patent: “Dynamic metaverse navigational insertion.” The patent describes a computer-implemented method for inserting users into a virtual space. It receives information from users about themselves and the space they intend to enter, then considers the space’s layout and occupancy. The method determines requirements for each user’s entry, generates a self-similar geometric pattern of insertion points, and maps an appropriate point for each user to that pattern.

Career Highlights

Lerner’s listed patent connects her work with virtual-space navigation and the technical challenge of accommodating users according to their needs and the available space. She is associated with International Business Machines Corporation.

Collaborations

The provided information lists Jeremy R. Fox and Grant Douglas Miller as Lerner’s coworkers. Their names are included here as professional associations; no specific collaboration on the patent is established by the supplied details.

Conclusion

Sarah Lerner’s patent on dynamic metaverse navigational insertion focuses on organizing user entry into virtual spaces through geometric patterns informed by user requirements and spatial conditions.

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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