Niskayuna, NY, United States of America

Jenny Weisenberg Williams

This inventor holds 1 USPTO granted patent. Top assignee: General Electric Company. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jenny Weisenberg Williams. Retrieved from https://idiyas.com/inventor/jenny-weisenberg-williams

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

Calculating rank

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Jenny Weisenberg Williams: Innovator in Multi-Modal Lineage Tracing

Introduction

Jenny Weisenberg Williams is a notable inventor based in Niskayuna, NY (US). She has made significant contributions to the field of data flow networks through her innovative patent. Her work focuses on enhancing the understanding and representation of complex data systems.

Latest Patents

Jenny holds a patent titled "Method and system for multi-modal lineage tracing and impact assessment in a concept lineage data flow network." This patent outlines a system and methods for representing nodes and data flows in a network. It includes providing a hierarchical taxonomy for concepts and boundary types, which are essential for defining data transmission between nodes. The patent emphasizes the importance of data flow in understanding complex networks.

Career Highlights

Jenny is currently employed at General Electric Company, where she applies her expertise in data systems and innovation. Her work at GE showcases her commitment to advancing technology and improving data management processes.

Collaborations

Jenny has collaborated with talented individuals such as Kareem Sherif Aggour and Justin Despenza McHugh. These collaborations highlight her ability to work effectively within a team to drive innovation.

Conclusion

Jenny Weisenberg Williams is a pioneering inventor whose work in multi-modal lineage tracing has the potential to transform data flow networks. Her contributions to the field are invaluable, and her innovative spirit continues to inspire others in the industry.

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]
Loading…