Yardley, PA, United States of America

Don Kyle


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2017-2023

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4 patents (USPTO):Explore Patents

Title: Don Kyle: Innovator in Chemical Formula Extrapolation

Introduction

Don Kyle is an accomplished inventor based in Yardley, PA (US). He holds a total of 4 patents that showcase his expertise in the field of chemical formula extrapolation and query building. His innovative work has contributed significantly to the understanding and identification of chemical formula moieties.

Latest Patents

One of Don Kyle's latest patents focuses on a system and method for extrapolating a set of specific representational identifiers that are represented or covered by a generic representational identifier found in a target document. This invention involves constructing and performing queries on a corpus of source documents, where members of the extrapolated set of specific representational identifiers are compared to a database of representational data. By matching representational data in this manner, any overlap between the generic representational data and specific instances of the generic representational identifier within the source documents can be determined. In a more specific implementation, the system and method reduce the scope of the generic representational identifier so that it encompasses only novel specific representational identifiers.

Career Highlights

Throughout his career, Don Kyle has worked with notable companies such as Purdue Pharma L.P. and Accencio LLC. His contributions in these organizations have furthered advancements in chemical research and data management.

Collaborations

Don has collaborated with professionals like Paul Blake and Kevin Brogle, enhancing the innovative processes within his projects.

Conclusion

Don Kyle's work in chemical formula extrapolation exemplifies the impact of innovation in scientific research. His patents and collaborations reflect a commitment to advancing the field and improving methodologies for identifying chemical data.

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