Cambridge, MA, United States of America

Lidiane Jones


Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2018-2023

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5 patents (USPTO):Explore Patents

Title: Lidiane Jones: Innovator in Graph Execution and History Feed Systems

Introduction

Lidiane Jones is a prominent inventor based in Cambridge, MA (US). She has made significant contributions to the field of technology, particularly in the areas of graph execution and file history management. With a total of five patents to her name, Lidiane continues to push the boundaries of innovation.

Latest Patents

One of Lidiane's latest patents is titled "User directed partial graph execution." This invention focuses on executing a user-selected portion of an executable graph, which comprises various executable modules. The method involves identifying a user-selected sub-portion of the graph and determining the necessary data from upstream modules to execute this sub-portion in isolation from other parts of the graph.

Another notable patent is the "Merged and actionable history feed." This invention relates to systems and methods for merging versions and activities associated with a file into a cohesive history feed. The history feed is then displayed on a user interface of a client computing device, enhancing user interaction with the file's activities.

Career Highlights

Lidiane Jones is currently employed at Microsoft Technology Licensing, LLC, where she applies her expertise in technology and innovation. Her work has significantly impacted the development of user-friendly systems that streamline complex processes.

Collaborations

Lidiane has collaborated with notable colleagues, including Damon Robert Hachmeister and Hai Ning. These partnerships have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Lidiane Jones is a trailblazer in her field, with a strong portfolio of patents that reflect her innovative spirit. Her contributions to graph execution and history feed systems are paving the way for future advancements in technology.

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