San Francisco, CA, United States of America

Geoffrey Grant

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 80(Granted Patents)


Location History:

  • La Jolla, CA (US) (1976 - 1977)
  • San Francisco, CA (US) (2020 - 2024)

Company Filing History:


Years Active: 1976-2024

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8 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Geoffrey Grant

Introduction

Geoffrey Grant is a prominent inventor based in San Francisco, CA, known for his significant contributions to the field of model performance visualization and improvement. With a total of 8 patents to his name, Grant has made strides in developing methods that enhance the efficiency and effectiveness of predictive models.

Latest Patents

One of Geoffrey Grant's latest patents is titled "Interface for visualizing and improving model performance." This method involves receiving user input that specifies the cost of error for a prediction, model type requirements, and computational resource allocation for model development. It determines a prediction of model performance based on the received data and renders a plot within a graphical user interface that characterizes the predicted performance metrics. Another notable patent under the same title focuses on monitoring the performance of a generated model while it is used for classification on live data. This method includes determining performance values at different points in time and rendering a plot that visualizes these values within a graphical user interface.

Career Highlights

Geoffrey Grant has worked with Aible Inc., where he has applied his innovative ideas to real-world applications. His work has been instrumental in advancing the capabilities of machine learning and predictive analytics.

Collaborations

Throughout his career, Grant has collaborated with notable professionals such as Arijit Sengupta and Jonathan W Wray, contributing to a rich exchange of ideas and innovations in the field.

Conclusion

Geoffrey Grant's work exemplifies the impact of innovation in technology, particularly in the realm of model performance. His patents and collaborations continue to influence the development of advanced predictive models, showcasing his dedication to improving the field.

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