Denver, CO, United States of America

Robert Craig Murphy

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2011-2021

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4 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Robert Craig Murphy

Introduction

Robert Craig Murphy is a notable inventor based in Denver, CO. He has made significant contributions to the field of data modeling and operational processes. With a total of 4 patents to his name, Murphy's work focuses on enhancing intervention outcomes through predictive modeling.

Latest Patents

One of Murphy's latest patents is titled "Dynamic model data facility and automated operational model building and usage." This innovative commercial process associates a dependent variable with a set of independent variables. It continuously provides opportunities for data collection. An intervention is designed using a model to predict the dependent outcome. The actual outcome of the intervention can be determined within the window of utility for these data. One of the main objectives is to improve intervention outcomes through prediction. The process aggregates purely random outcomes and outcomes resulting from the intervention into separate files. These files are used to analyze model performance and react automatically when identified conditions warrant.

Career Highlights

Throughout his career, Murphy has worked with various companies, including Aha Analytics Software LLC and Bioscience Pharma Partners, LLC. His experience in these organizations has allowed him to refine his skills in data analytics and operational modeling.

Collaborations

Murphy has collaborated with notable individuals in his field, including Bruce Allen Bacon and Peter T Gallanis. These partnerships have contributed to the advancement of his innovative projects.

Conclusion

Robert Craig Murphy's work exemplifies the intersection of innovation and practical application in data modeling. His contributions continue to influence the field and improve intervention outcomes through predictive analytics.

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