Evanston, IL, United States of America

Michael D Low


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 273(Granted Patents)


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: Michael D. Low: Innovator in Data Matching Technology

Introduction

Michael D. Low is an accomplished inventor based in Evanston, Illinois. He holds a patent for a groundbreaking system designed for data collection and matching compatible profiles. This innovative method has the potential to transform how individuals are matched in various contexts, including residency programs and job placements.

Latest Patents

Michael D. Low's notable patent is titled "System for data collection and matching compatible profiles." This invention relates to an automated method for identifying matches between a set of predetermined traits and a set of preferences. The system is designed to find compatible matches in situations where participants are identified by a profile of traits and a set of criteria desired in a match. The invention offers significant advantages over prior computer matching systems by providing an automated and effective method for matching traits with corresponding preferences. It ensures that only matches of the highest degree are made, utilizing two-way matching of selected criteria.

Career Highlights

Michael D. Low is currently associated with Spark Network Services, Inc., where he applies his expertise in data matching technology. His work focuses on enhancing the efficiency and effectiveness of matching systems, contributing to advancements in various fields.

Collaborations

Michael has collaborated with notable colleagues, including Pierre E. Durand and Melissa K. Stoller. Their combined efforts have fostered innovation and development in the realm of data matching technologies.

Conclusion

Michael D. Low's contributions to the field of data matching technology exemplify the impact of innovative thinking on modern challenges. His patent reflects a commitment to improving how individuals are matched based on their traits and preferences.

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