Austin, TX, United States of America

Mary Elizabeth Chalk

This inventor holds 16 USPTO granted patents and 13 published patent applications, plus 2 CIPO patents. Top assignees: Beekeeperai, Inc., University of California. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mary Elizabeth Chalk. Retrieved from https://idiyas.com/inventor/mary-elizabeth-chalk

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

USPTO Granted Patents = 16 

% Patents Active = 93.8

 

Average Co-Inventor Count = 2.8

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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16 patents (USPTO):Explore Patents

Title: Mary Elizabeth Chalk: Innovator in Privacy-Preserving Computing

Introduction

Mary Elizabeth Chalk is a prominent inventor based in Austin, TX, known for her contributions to the field of artificial intelligence and data privacy. With a total of 16 patents to her name, she has made significant strides in developing innovative solutions that enhance data security and privacy.

Latest Patents

One of her latest patents is titled "Distributed Privacy-Preserving Computing on Protected Data." This invention focuses on techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy-protected, harmonized data. The method involves receiving an algorithm and input data requirements, identifying available data assets, curating them within a data storage structure, and integrating the algorithm into a secure capsule computing framework. This framework ensures that the algorithm interacts with the data assets securely, preserving their privacy while obtaining valuable inferences.

Another notable patent is "Systems and Methods for Dataset Verification in a Zero-Trust Computing Environment." This invention provides systems and methods for verifying cohort sample sets. It includes receiving a sample dataset, generating a sample vector set, and calculating the difference between the sample vector set and an example vector set. The method frames the distance as a p-value in a hypothesis test, allowing for the rejection of datasets that do not meet the established threshold.

Career Highlights

Mary has worked with several organizations, including Beekeeper AI, Inc. and the University of California. Her work in these institutions has allowed her to further her research and development in the field of privacy-preserving technologies.

Collaborations

Throughout her career, Mary has collaborated with notable individuals such as Robert Derward Rogers and Rachael A Callcut. These collaborations have contributed to her innovative work and the advancement of her projects.

Conclusion

Mary Elizabeth Chalk is a trailblazer in the realm of privacy-preserving computing, with a strong portfolio of patents that reflect her commitment to enhancing data security. Her innovative approaches continue to shape the future of artificial intelligence and data privacy.

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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