New Haven, CT, United States of America

Edo Liberty

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Google Inc.. Active years: 2013-2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Edo Liberty. Retrieved from https://idiyas.com/inventor/edo-liberty-imh2ioqu

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 61(Granted Patents)


Company Filing History:


Years Active: 2013-2015

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2 patents (USPTO):Explore Patents

Title: Edo Liberty: Innovator in Data Clustering Technologies

Introduction

Edo Liberty is a prominent inventor based in New Haven, CT (US). He has made significant contributions to the field of data clustering, holding 2 patents that enhance the efficiency and accuracy of data analysis.

Latest Patents

Liberty's latest patents focus on systems and methods for clustering data points based on measures of similarity. These innovations provide a framework for estimating pairwise similarity functions for data points, allowing for the execution of clustering algorithms. The algorithms can be iterated multiple times to reduce variance in the output, with the pairwise similarity functions updated between iterations. This process culminates in the consolidation of data points into a single, comprehensive data point associated with each cluster.

Career Highlights

Edo Liberty is currently employed at Google Inc., where he continues to develop cutting-edge technologies in data analysis. His work has been instrumental in advancing the capabilities of clustering algorithms, making them more robust and effective for various applications.

Collaborations

Liberty collaborates with notable colleagues, including Harishabd Singh Khalsa and Nir Ailon, contributing to a dynamic and innovative work environment.

Conclusion

Edo Liberty's contributions to data clustering technologies exemplify his commitment to innovation and excellence in the field. His patents not only reflect his expertise but also pave the way for future advancements in data analysis.

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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