Cambridge, United Kingdom

Jamie Shotton

This inventor holds 13 USPTO granted patents and 3 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2009-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jamie Shotton. Retrieved from https://idiyas.com/inventor/jamie-shotton

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

USPTO Granted Patents = 13 

% Patents Active = 53.8

Average Co-Inventor Count = 4.3

ph-index = 8

Forward Citations = 201(Granted Patents)


Location History:

  • Oxford, GB (2009 - 2010)
  • Cambridge, GB (2010 - 2023)

Company Filing History:


Years Active: 2009-2023

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13 patents (USPTO):Explore Patents

Title: Jamie Shotton - Innovator from Cambridge, GB

Introduction: Jamie Shotton is a pioneering inventor based in Cambridge, GB, known for her groundbreaking work in the field of computer vision and machine learning.

Latest Patents: Jamie Shotton holds several patents related to advanced image recognition technologies and artificial intelligence systems, revolutionizing the way machines perceive and interact with the world.

Career Highlights: With a background in computer science and a Ph.D. in machine learning, Jamie Shotton has made significant contributions to the development of cutting-edge technologies that are shaping the future of various industries.

Collaborations: Throughout her career, Jamie Shotton has collaborated with leading research institutions, tech companies, and academic experts to push the boundaries of innovation in computer vision and AI.

Conclusion: Jamie Shotton's dedication to pushing the limits of technology and her passion for creating solutions that have a real-world impact make her a standout figure in the world of inventions and innovations.

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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