Pittsford, CA, United States of America

Nancy D Hallock


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 275(Granted Patents)


Company Filing History:


Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: The Innovations of Nancy D. Hallock

Introduction

Nancy D. Hallock is a notable inventor based in Pittsford, CA (US). She has made significant contributions to the field of statistical analysis, particularly in quality control data systems. Her innovative approach has led to the development of a patented system that enhances the accuracy and efficiency of quality control processes.

Latest Patents

Nancy D. Hallock holds a patent for a "System for statistical analysis of quality control data." This statistical database system improves error checking of quality control data used to measure the performance of quantitative analysis equipment. The system allows for flexible data delivery, including input via scanning, operator keyed summary data, operator keyed raw data, analyzer direct download, and Internet-delivered data. The quality control data can be verified against specific lot and analyzer parameters, ensuring that any data falling outside of specified ranges can be excluded from peer groups. This innovative system processes quality control data in real time, allowing for immediate data entry and report generation.

Career Highlights

Nancy is currently employed at Bionostics, Inc., where she continues to develop and refine her innovative systems. Her work has significantly impacted the field of quality control, providing tools that enhance data accuracy and reliability.

Collaborations

Some of her coworkers include Jeffrey A. Jones and David W. Hatch, who contribute to the collaborative environment at Bionostics, Inc. Their teamwork fosters innovation and drives advancements in quality control systems.

Conclusion

Nancy D. Hallock's contributions to the field of statistical analysis and quality control are noteworthy. Her patented system exemplifies her commitment to improving data accuracy and efficiency in quantitative analysis.

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