Los Angeles, CA, United States of America

Michael John Lee Williams

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Cloudera, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael John Lee Williams. Retrieved from https://idiyas.com/inventor/michael-john-lee-williams

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: **Innovator Spotlight: Michael John Lee Williams from Los Angeles, CA**

Introduction

Michael John Lee Williams is an accomplished inventor based in Los Angeles, CA, who has made significant contributions to the field of data science through his innovative patent. With a strong background in machine learning, his work focuses on enhancing the capabilities of data science platforms to optimize performance and usability.

Latest Patents

Michael holds a patent for "Hyperparameter tuning using visual analytics in a data science platform." This patent discloses techniques that facilitate the tuning of hyperparameter values during the development of machine learning models. The invention allows users to generate and display interactive visualizations that respond dynamically to user input. By leveraging this technique, users can adjust hyperparameters iteratively, gain insights into model performance, collaborate with peers, and manage costs associated with experiments during the tuning process.

Career Highlights

Michael is currently employed at Cloudera, Inc., a company that specializes in providing a modern platform for data management and analytics. His role involves utilizing his expertise to develop advanced solutions in machine learning, contributing to the progression of data science methodologies.

Collaborations

Throughout his career, Michael has had the opportunity to collaborate with notable colleagues, including Gregorio Convertino and Tianyi Li. These partnerships have enabled him to leverage diverse insights and expertise, further enhancing the development of innovative solutions in the realms of data science and machine learning.

Conclusion

Michael John Lee Williams exemplifies the spirit of innovation through his patented techniques for hyperparameter tuning in machine learning. His work at Cloudera, Inc. and collaborations with esteemed colleagues continue to push the boundaries of what is possible in data science, making significant strides in the optimization of machine learning models.

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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