San Francisco, CA, United States of America

Natalie Casey

This inventor holds 1 USPTO granted patent. Top assignee: Salesforce Com, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Natalie Casey. Retrieved from https://idiyas.com/inventor/natalie-casey

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Natalie Casey

Introduction

Natalie Casey is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of predictive modeling, particularly in recognizing biases in data and models. Her work is essential in enhancing the accuracy and reliability of predictive applications.

Latest Patents

Natalie holds a patent for a method titled "Recognition of biases in data and models." This innovative approach involves training a predictive model to forecast likely field values for user-selected fields within an application. The method includes providing a user interface for field selection, analyzing a pre-existing user-provided data set, and determining confidence functions for the predictive model. This allows users to review and select confidence threshold levels for improved predictions.

Career Highlights

Natalie Casey is currently employed at Salesforce.com, Inc., where she applies her expertise in data analysis and predictive modeling. Her work at Salesforce has positioned her as a key player in developing advanced solutions that address data biases and enhance user experience.

Collaborations

Natalie collaborates with talented colleagues, including Sarah Aerni and Sara Beth Asher. Together, they work on innovative projects that push the boundaries of technology and data science.

Conclusion

Natalie Casey's contributions to predictive modeling and her innovative patent demonstrate her commitment to advancing technology. Her work not only improves predictive accuracy but also addresses critical issues related to data biases.

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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