New York, NY, United States of America

Daniel Fernandez



Average Co-Inventor Count = 3.6

ph-index = 3

Forward Citations = 33(Granted Patents)


Company Filing History:


Years Active: 2018-2025

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10 patents (USPTO):Explore Patents

Title: Innovations of Daniel Fernandez

Introduction

Daniel Fernandez is a notable inventor based in New York, NY (US). He has made significant contributions to the field of data structures and clustering technologies. With a total of 10 patents to his name, Fernandez has established himself as a key figure in the realm of computer-implemented systems.

Latest Patents

One of his latest patents focuses on systems and methods for automatic clustering and canonical designation of related data in various data structures. This invention discloses computer-implemented systems and methods for automatically clustering and canonically identifying related data. The data structures involved may include a plurality of records, each associated with a respective entity. The systems and methods identify clusters of records by grouping them into pairs and analyzing these pairs to determine the probability that both members relate to a common entity. This innovative approach allows for the identification of clusters of overlapping pairs, generating a collection of records related to a common entity. Furthermore, clusters can be analyzed to determine canonical names or other properties for the respective entities by examining record fields and identifying similarities.

Career Highlights

Daniel Fernandez is currently employed at Palantir Technologies Inc., where he continues to develop cutting-edge technologies. His work has had a profound impact on how data is organized and understood in various applications.

Collaborations

Some of his notable coworkers include Lawrence Manning and Rahul Mehta, who contribute to the innovative environment at Palantir Technologies Inc.

Conclusion

Daniel Fernandez is a prominent inventor whose work in automatic clustering and data structures has paved the way for advancements in data management technologies. His contributions continue to influence the field significantly.

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