Vienna, VA, United States of America

Christopher Rodgers


Average Co-Inventor Count = 29.0

ph-index = 1

Forward Citations = 41(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Innovations by Christopher Rodgers

Introduction

Christopher Rodgers is an accomplished inventor based in Vienna, VA (US). He has made significant contributions to the field of data aggregation and analysis. His innovative work focuses on systems that enhance the way data is collected, stored, and analyzed.

Latest Patents

Rodgers holds a patent for "Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data." This patent outlines methods for aggregating and storing different types of data, as well as generating interactive user interfaces for analyzing the stored data. The system allows for the reception of entity data from various sources, which is then used to determine attribute values for multiple entities over specified time periods. The entities can be categorized into groups, and aggregate attribute values are generated based on these groups. The invention includes a first interactive user interface that displays the entity groups alongside their aggregated attribute values. Upon user selection of an entity group, a second interactive user interface is generated to display the individual entities and their associated attribute values.

Career Highlights

Christopher Rodgers is currently employed at Palantir Technologies Inc., where he continues to innovate in the field of data systems. His work has been instrumental in developing advanced technologies that facilitate better data management and analysis.

Collaborations

Rodgers collaborates with talented individuals such as Sean Kelley and Dylan Scott, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Christopher Rodgers is a notable inventor whose work in data aggregation and analysis has the potential to transform how organizations manage and interpret data. His contributions are paving the way for more efficient data systems and user interfaces.

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