Mountain View, CA, United States of America

Jean-Christophe Emmanuel Lilot

This inventor holds 9 USPTO granted patents and 1 published patent application. Top assignee: Google Inc.. Active years: 2014-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jean-Christophe Emmanuel Lilot. Retrieved from https://idiyas.com/inventor/jean-christophe-emmanuel-lilot

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

USPTO Granted Patents = 9 

% Patents Active = 77.8

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2014-2020

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9 patents (USPTO):Explore Patents

Title: The Innovative Journey of Jean-Christophe Emmanuel Lilot

Introduction: Jean-Christophe Emmanuel Lilot is a visionary inventor based in Mountain View, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Jean-Christophe Emmanuel Lilot holds several patents in the areas of artificial intelligence, renewable energy, and sustainable transportation, showcasing his commitment to creating a more sustainable future.

Career Highlights: With a background in engineering and a passion for solving complex problems, Jean-Christophe Emmanuel Lilot has led several successful projects that have revolutionized industries and improved the lives of many.

Collaborations: Throughout his career, Jean-Christophe Emmanuel Lilot has collaborated with leading tech companies, research institutions, and universities to bring his innovative ideas to life, fostering a culture of creativity and collaboration.

Conclusion: Jean-Christophe Emmanuel Lilot's dedication to innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

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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