Palo Alto, CA, United States of America

William Dwyer


 

Average Co-Inventor Count = 3.4

ph-index = 4

Forward Citations = 484(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2015 - 2018)
  • Seattle, WA (US) (2023)

Company Filing History:


Years Active: 2015-2023

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6 patents (USPTO):Explore Patents

Title: The Innovative Contributions of William Dwyer

Introduction

William Dwyer is a notable inventor based in Palo Alto, California. He has made significant contributions to the field of data analysis through his innovative patents. With a total of six patents to his name, Dwyer has focused on developing systems and methods that enhance client-side data analysis.

Latest Patents

Dwyer's latest patents include "Systems and methods for client-side data analysis." This invention provides a framework for analyzing data within local, embedded databases in client-side applications, such as web browsers. The application allows users to query these databases without needing to access remote data stores, thus streamlining the data analysis process. Another significant patent is "Methods and systems for analyzing entity performance." This method involves recognizing identifiers associated with entities and processing interaction data to evaluate performance, which is then displayed on user interfaces.

Career Highlights

William Dwyer is currently employed at Palantir Technologies Inc., a company known for its advanced data analytics solutions. His work at Palantir has allowed him to apply his innovative ideas in real-world applications, contributing to the company's reputation as a leader in the field.

Collaborations

Dwyer has collaborated with notable colleagues, including Daniel Erenrich and Anirvan Mukherjee. These collaborations have likely fostered an environment of innovation and creativity, further enhancing the impact of their collective work.

Conclusion

William Dwyer's contributions to data analysis through his patents demonstrate his commitment to innovation in technology. His work continues to influence the way data is analyzed and utilized in various applications.

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