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For the Inventor, By the Inventor

Seattle, WA, United States of America

Jeffrey Scott Dunn

USPTO Granted Patents = 21 


Average Co-Inventor Count = 4.1

ph-index = 7

Forward Citations = 133(Granted Patents)


Location History:

  • Seattle, CA (US) (2019)
  • Seattle, WA (US) (2014 - 2021)

Company Filing History:

goldMedal21 out of 5,341 
 
Facebook, Inc.
 patents

Years Active: 2014-2021

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21 patents (USPTO):
1. 10909022 - Systems and methods for identifying and tracking application performance incidents (2021-02-02),
2. 10643144 - Machine learning system flow authoring tool (2020-05-05),
3. 10579431 - Systems and methods for distributed management of computing resources (2020-03-03),
4. 10534696 - Systems and methods for improving comparative performance test results of mobile applications (2020-01-14),
5. 10417577 - Machine learning system interface (2019-09-17),
6. 10395181 - Machine learning system flow processing (2019-08-27),
7. 10372585 - Incident tracker (2019-08-06),
8. 10318538 - Systems, methods, and apparatuses for implementing an interface to view and explore socially relevant concepts of an entity graph (2019-06-11),
9. 10311063 - Context-based object retrieval in a social networking system (2019-06-04),
10. 10178197 - Metadata prediction of objects in a social networking system using crowd sourcing (2019-01-08),
11. 10146666 - Systems and methods for improving comparative performance test results of mobile applications (2018-12-04),
12. 10067848 - Methods and systems for benchmarking web browser performance (2018-09-04),
13. 9864589 - Decision tree ensemble compilation (2018-01-09),
14. 9678730 - Decision tree ensemble compilation (2017-06-13),
15. 9560150 - Adaptive selection of social context for display to a viewing user (2017-01-31),

Title: Innovator Profile: Jeffrey Scott Dunn

Introduction: Jeffrey Scott Dunn, based in Seattle, WA, is a prolific inventor with an impressive portfolio of 21 patents. His innovations primarily focus on enhancing application performance tracking and machine learning workflows, showcasing his expertise in the tech industry.

Latest Patents: Among his latest contributions, Dunn has developed a patent entitled "Systems and methods for identifying and tracking application performance incidents." This patent outlines a computer-implemented method that involves receiving data to identify performance metrics, recognizing discontinuities in data time series, associating those with changes in source code, and executing automated responses. Additionally, he has introduced a "Machine learning system flow authoring tool," which allows the definition and scheduling of workflows through a text string representation of processing operator types, thus facilitating more efficient data processing in machine learning applications.

Career Highlights: Jeffrey currently works at Facebook, Inc., where he leverages his skills to develop innovative solutions that enhance user experience and operational efficiency. His research and development efforts have led to advancements in the ways applications perform and manage data processing workflows.

Collaborations: Throughout his career, Dunn has collaborated with talented professionals, including colleagues Rafael Linden Sagula and Cameron Marlow. These partnerships in a dynamic environment have fostered creative solutions and innovative projects that stand out in the field of technology.

Conclusion: Jeffrey Scott Dunn exemplifies the spirit of innovation in the tech industry. His contributions to application performance tracking and machine learning are a testament to his commitment to advancing technology. As he continues to evolve in his career, his work will undoubtedly influence future developments and inspire new generations of inventors.

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