Seattle, WA, United States of America

Jon Charles Gunther

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Juno Therapeutics Gmbh. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jon Charles Gunther. Retrieved from https://idiyas.com/inventor/jon-charles-gunther

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jon Charles Gunther: Innovator in Machine Learning for Cell Classification

Introduction

Jon Charles Gunther is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of machine learning, particularly in the classification of cells. His innovative approach has the potential to enhance our understanding of various cell types and their functions.

Latest Patents

Jon Charles Gunther holds a patent for "Machine learning methods for classifying cells." This patent provides methods for classifying cells, such as T cells, using advanced machine learning techniques. The methods can be utilized to classify different subsets or types of cells within a mixed population, showcasing the versatility and applicability of his work.

Career Highlights

Gunther is currently employed at Juno Therapeutics GmbH, where he continues to push the boundaries of research in cell classification. His work is instrumental in developing innovative solutions that can impact therapeutic approaches in medicine.

Collaborations

He collaborates with talented individuals such as Ivie Aifuwa and Keith Rawson, contributing to a dynamic research environment that fosters innovation and discovery.

Conclusion

Jon Charles Gunther's contributions to machine learning and cell classification exemplify the intersection of technology and biology. His work not only advances scientific knowledge but also holds promise for future medical applications.

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]
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