Plymouth, MN, United States of America

Melanie Majerus

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Optum Services (Ireland) Limited. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Melanie Majerus

Introduction

Melanie Majerus is a notable inventor based in Plymouth, MN (US). She has made significant strides in the field of machine learning, particularly through her innovative patent that focuses on predictive data analysis. Her work exemplifies the intersection of technology and practical applications, showcasing her expertise and creativity.

Latest Patents

Melanie holds a patent titled "Machine learning techniques using cross-model fingerprints for novel predictive tasks." This invention encompasses various embodiments that provide methods, apparatus, systems, and computing devices for performing predictive data analysis. The patent utilizes affirmative and negative fingerprint distance measures to enhance predictive capabilities, marking a significant advancement in the field.

Career Highlights

Melanie is currently employed at Optum Services (Ireland) Limited, where she applies her skills and knowledge to further develop innovative solutions in healthcare technology. Her role at the company allows her to contribute to impactful projects that leverage machine learning for improved outcomes.

Collaborations

Throughout her career, Melanie has collaborated with talented individuals such as Ahmed Selim and Paul J Godden. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Melanie Majerus stands out as an influential inventor in the realm of machine learning and predictive data analysis. Her contributions not only advance technology but also pave the way for future innovations in the field.

Profile summary based on public USPTO records.
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