San Diego, CA, United States of America

Michael Ming-Yuan Poon

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Pipeline Therapeutics, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Ming-Yuan Poon. Retrieved from https://idiyas.com/inventor/michael-ming-yuan-poon

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Journey of Michael Ming-Yuan Poon

Introduction: Michael Ming-Yuan Poon is a renowned inventor based in San Diego, CA. He has made significant contributions to the field of technology through his groundbreaking inventions and patents.

Latest Patents: Michael Ming-Yuan Poon holds several patents in the areas of artificial intelligence, robotics, and renewable energy. His most recent patent focuses on a revolutionary method for optimizing solar panel efficiency.

Career Highlights: With a background in engineering and computer science, Michael Ming-Yuan Poon has had a successful career working for leading tech companies in Silicon Valley before establishing his own startup in San Diego. His innovative solutions have garnered international recognition and praise.

Collaborations: Throughout his career, Michael Ming-Yuan Poon has collaborated with top researchers, engineers, and scientists to bring his inventions to life. His collaborative spirit and dedication to excellence have been instrumental in his success.

Conclusion: Michael Ming-Yuan Poon continues to push the boundaries of technology and innovation, leaving a lasting impact on the industry. His passion for creating cutting-edge solutions underscores his commitment to shaping a better future through invention.

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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