San Francisco, CA, United States of America

Matthew DeLand

This inventor holds 20 USPTO granted patents and 6 published patent applications, primarily in Data Quality Assessment. Top assignees: Groupon, Inc., Bytedance Inc., Box Limited. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew DeLand. Retrieved from https://idiyas.com/inventor/matthew-deland

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

Calculating rank
USPTO Granted Patents = 20 

% Patents Active = 95.0

Average Co-Inventor Count = 3.4

ph-index = 5

Forward Citations = 168(Granted Patents)


Company Filing History:


Years Active: 2016-2026

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Areas of Expertise:
Data Quality Assessment
Dynamic Clustering
Error Correction
Automated Analysis
Event-Based Recommendations
Adaptive Data Analysis
Spontaneous Networking
Training Data Selection
Crowdsourced Contacts
Streaming Data
20 patents (USPTO):Explore Patents

Title: The Innovative Mind of Matthew DeLand

Introduction

Matthew DeLand, an accomplished inventor based in San Francisco, California, has made significant contributions to the field of data quality assessment and unique contact determination through his impressive portfolio of 19 patents. His work reflects the quintessential spirit of innovation that drives advancements in technology and data management.

Latest Patents

Among his latest patents, the "Automated Dynamic Data Quality Assessment" showcases his focus on enhancing data reliability. This invention employs systems, methods, and computer-readable media to automate the assessment of data quality through a series of actions, including sending quality verification requests to an oracle when new data samples are introduced. This innovative approach not only improves the management of data but also ensures that the quality of information is rigorously maintained.

Another notable patent is the "Systems, Apparatus, and Methods of Programmatically Determining Unique Contacts Based on Crowdsourced Error Correction." This patent presents a system designed to determine unique contacts from a vast array of merchant data. The technology incorporates advanced circuitry to enhance the accuracy of identifying and matching contacts, ultimately resulting in a more reliable database. This invention highlights the application of machine learning techniques to reduce classification errors and optimize data quality.

Career Highlights

Matthew DeLand has had a prominent career in technology, contributing to notable companies such as Groupon, Inc. and Box Limited. His experiences in these organizations have allowed him to refine his innovative capabilities and further his expertise in data management and analysis.

Collaborations

During his career, Matthew has had the opportunity to collaborate with esteemed colleagues such as David Alan Johnston and Shawn Ryan Jeffery. These partnerships have fostered an environment of creativity and innovation, contributing to the successful development of his patented technologies.

Conclusion

Matthew DeLand is a remarkable inventor whose work continues to push the boundaries of what is possible in data quality assessment and management. His 19 patents reflect a deep commitment to innovation and a vision that enhances the efficiency and accuracy of data handling processes. As he continues to innovate, his contributions will undoubtedly shape the future of technology and data reliability.

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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