logo

For the Inventor, By the Inventor

San Francisco, CA, United States of America

Michael McCourt

This inventor holds 19 USPTO granted patents and 1 published patent application and 1 EPO patent, primarily in Machine Learning Optimization. Top assignees: Intel Corporation, Sigopt, Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael McCourt. Retrieved from https://idiyas.com/inventor/michael-mccourt

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

Calculating rank
USPTO Granted Patents = 19 

% Patents Active = 89.5

 

Average Co-Inventor Count = 5.0

ph-index = 6

Forward Citations = 142(Granted Patents)


Company Filing History:

goldMedal13 out of 56,440 
 
Intel Corporation
 patents
silverMedal6 out of 10 
 
Sigopt, Inc.
 patents

Years Active: 2019-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
Machine Learning
Hyperparameter Tuning
Optimization Platform
Intelligent Systems
Model Training
Tuning Criteria
Data Optimization
Model Performance
Accelerated Tuning
Curtailed Training
Multiple Solutions
Tuning Service
19 patents (USPTO):Explore Patents
1. 12770067 - Systems and methods for an accelerated and enhanced tuning of a model based on prior model tuning data (2026-10-20),
2. 12682287 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2026-07-14),
3. 12450479 - Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model (2025-10-21),
4. 12373699 - Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service (2025-07-29),
5. 12159209 - Systems and methods for an accelerated and enhanced tuning of a model based on prior model tuning data (2024-12-03),
6. 12141667 - Systems and methods implementing an intelligent optimization platform (2024-11-12),
7. 12033036 - Systems and methods for implementing an intelligent tuning of multiple hyperparameter criteria of a model constrained with metric thresholds (2024-07-09),
8. 11966860 - Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions (2024-04-23),
9. 11704567 - Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service (2023-07-18),
10. 11699098 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2023-07-11),
11. 11301781 - Systems and methods implementing an intelligent optimization platform (2022-04-12),
12. 11270217 - Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions (2022-03-08),
13. 11157812 - Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model (2021-10-26),
14. 10740695 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2020-08-11),
15. 10621514 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2020-04-14),

Title: The Innovative Mind of Michael McCourt

Introduction

Michael McCourt is a prominent inventor based in San Francisco, CA. He holds an impressive portfolio of 17 patents, showcasing his expertise in the field of technology and machine learning. His innovative contributions have significantly advanced the capabilities of model training and hyperparameter tuning.

Latest Patents

Among his latest patents, McCourt has developed systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model. This invention includes a hyperparameter tuning service that efficiently tunes model parameters by receiving tuning requests through an API. The system monitors the training run and computes advanced instructions to curtail the training process before reaching a predefined maximum schedule. Another notable patent focuses on accelerated tuning of hyperparameters using a machine learning-based tuning service. This method involves executing both full and partial tuning tasks to generate proposed values for hyperparameters, thereby enhancing the tuning process's efficiency.

Career Highlights

Michael McCourt has had a distinguished career, working with leading companies such as Intel Corporation and Sigopt, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in technology.

Collaborations

Throughout his career, McCourt has collaborated with notable professionals, including Patrick Hayes and Scott Clark. These partnerships have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Michael McCourt's contributions to the field of technology and machine learning are noteworthy. His innovative patents and collaborations reflect his commitment to advancing the industry. His work continues to inspire future innovations in model training and hyperparameter tuning.

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]
Loading…