Milwaukee, WI, United States of America

David Glenn Lee

This inventor holds 1 USPTO granted patent. Top assignee: Ge Medical Systems Global Technology Company, LLC. Active years: 2002.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Glenn Lee. Retrieved from https://idiyas.com/inventor/david-glenn-lee-cnu2xryu

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


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2002

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of David Glenn Lee

Introduction: David Glenn Lee, a talented inventor hailing from Milwaukee, WI, is known for his groundbreaking contributions to various industries through his innovative creations.

Latest Patents: David Glenn Lee's latest patents include a cutting-edge technology for renewable energy storage, a revolutionary medical device for minimally invasive surgeries, and a unique software application for enhancing cybersecurity measures.

Career Highlights: Throughout his illustrious career, David Glenn Lee has received numerous accolades for his inventive spirit. He has been recognized for his exceptional problem-solving skills and his ability to transform complex ideas into practical solutions.

Collaborations: David Glenn Lee has collaborated with leading research institutions, top universities, and renowned companies to bring his inventions to life. His partnerships have led to the successful development and commercialization of several groundbreaking products.

Conclusion: In conclusion, David Glenn Lee stands as a beacon of innovation in the field of inventing. His passion for creating solutions that make a difference in the world continues to inspire the next generation of inventors and innovators.

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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