East Lansing, MI, United States of America

Michael Thomas Wegan

USPTO Granted Patents = 5 

Average Co-Inventor Count = 7.6

ph-index = 2

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2019-2024

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Inventor Spotlight: Michael Thomas Wegan

Introduction

Michael Thomas Wegan is an innovative inventor based in East Lansing, MI, United States. With a total of five patents to his name, Wegan focuses on advancing the field of collaborative machine learning, contributing significantly to the way sensitive information can be handled among multiple parties.

Latest Patents

Wegan is recognized for his latest patents that enhance privacy and control in collaborative environments. One of his notable inventions is a process designed for "Privacy and proprietary-information preserving collaborative multi-party machine learning." This patented process facilitates the sharing of information for modeling and decision-making while safeguarding details that may be too sensitive or are bound by legal, regulatory, or business constraints. Another significant patent by Wegan is focused on "Collaborative multi-parties/multi-sources machine learning for affinity assessment, performance scoring, and recommendation making." This invention similarly emphasizes the importance of sharing while ensuring restricted exposure of critical data.

Career Highlights

Michael Thomas Wegan is affiliated with Cerebri AI Inc., a firm that harnesses artificial intelligence to improve customer experiences and business efficiency through data-driven insights. His work at Cerebri Ai Inc. represents a pivotal contribution to the integration of AI with privacy-preserving technologies.

Collaborations

Within his professional journey, Wegan collaborates with notable peers such as Gabriel M. Silberman and Lee David Harper. These collaborations underscore the importance of teamwork and diverse expertise in the innovation process, enabling significant breakthroughs in their respective fields.

Conclusion

In summary, Michael Thomas Wegan exemplifies the innovative spirit that drives progress in machine learning and data privacy. His contributions not only enhance collaborative technologies but also ensure that essential information remains secure amidst growing concerns over data privacy in today's digital landscape. As he continues to develop new inventions, Wegan stands as a key figure in the evolving realm of artificial intelligence.

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