This inventor holds 2 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2006.
Company Filing History:
Years Active: 2006
Title: Chad Rothchiller: Innovator in Data Structure Conversion
Introduction
Chad Rothchiller is an accomplished inventor based in Edmonds, WA (US). He has made significant contributions to the field of data structure conversion, holding 2 patents that showcase his innovative approach to handling hierarchical data.
Latest Patents
Chad's latest patents include a "Method and system for converting a schema-based hierarchical data structure into a flat data structure." This invention provides a method for transforming hierarchical data, such as XML, into a flat format suitable for spreadsheet applications. The process involves loading a hierarchical data structure, applying layout rules based on a defined schema, and rendering the data into a spreadsheet format.
Another notable patent is the "Method and system for inferring a schema from a hierarchical data structure for use in a spreadsheet." This invention allows for the extraction of a schema from an electronic document containing hierarchical data. The application program parses the hierarchical data to discover nodes and generates schema elements based on the characteristics of each node, facilitating the use of the data in spreadsheet applications.
Career Highlights
Chad Rothchiller is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data management and processing. His work has significantly impacted how hierarchical data is utilized in modern applications.
Collaborations
Chad has collaborated with notable colleagues, including Michael J McCormack and Eoin James Burke. Their combined expertise has contributed to the advancement of technology in data structure conversion.
Conclusion
Chad Rothchiller's contributions to the field of data structure conversion exemplify his innovative spirit and dedication to improving data management. His patents reflect a deep understanding of hierarchical data and its applications in modern technology.
