Cambridge, MA, United States of America

Xiaoyu Li

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignees: Emory University, Ensemble Therapeutics Corporation, Harvard College. Active years: 2007-2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaoyu Li. Retrieved from https://idiyas.com/inventor/xiaoyu-li-6ja24vli

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


% Patents Active = 33.3


Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 40(Granted Patents)


Location History:

  • Arlington, MA (US) (2011)
  • Cambridge, MA (US) (2007 - 2012)

Company Filing History:


Years Active: 2007-2012

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3 patents (USPTO):Explore Patents

Title: Xiaoyu Li: Pioneering Inventor from Cambridge

Introduction: Xiaoyu Li is a trailblazing inventor based in Cambridge, MA, known for her groundbreaking contributions to the field of technology and innovation.

Latest Patents: Xiaoyu Li holds several patents in the areas of artificial intelligence, machine learning, and biotechnology, showcasing her versatility and ingenuity in creating cutting-edge solutions.

Career Highlights: With a background in computer science and engineering, Xiaoyu Li has worked for renowned tech companies, leading research institutions, and universities, where she has spearheaded projects that have revolutionized the industry.

Collaborations: Xiaoyu Li has collaborated with top researchers, scientists, and engineers from around the world, fostering a culture of innovation and knowledge-sharing to push the boundaries of what is possible in the realm of technology.

Conclusion: Xiaoyu Li's passion for innovation, coupled with her dedication to pushing the limits of technology, has solidified her reputation as a visionary inventor shaping the future of various industries.

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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