Shaun Ryan James McDowell

Title: Innovations by Shaun Ryan James McDowell

Introduction

Shaun Ryan James McDowell is an accomplished inventor based in Great Neck, NY. He has made significant contributions to the field of anomaly detection through his innovative patents. With a total of three patents to his name, McDowell's work focuses on enhancing machine learning models for improved performance.

Latest Patents

One of McDowell's latest patents is titled "Feedback-based training for anomaly detection." This patent outlines techniques for feedback-based training that involve selecting a scoring machine learning model based on a test metric. The model is then applied to an unlabeled dataset to generate predictions and importance ranking scores. The process includes requesting feedback via a graphical user interface and retraining the model using verified results. Another notable patent is "Anomaly detection using feedback training," which describes methods for training an anomaly detection machine learning model using feedback-based training. This method includes receiving requests for analysis, training the model, and performing feedback-based training to enhance its accuracy.

Career Highlights

McDowell is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in machine learning and anomaly detection. His work has contributed to advancements in the field, making significant impacts on how data is analyzed and interpreted.

Collaborations

Some of McDowell's notable coworkers include Barath Balasubramanian and Niels Brouwers. Their collaborative efforts have further enriched the research and development environment at Amazon Technologies, Inc.

Conclusion

Shaun Ryan James McDowell is a prominent inventor whose work in anomaly detection and machine learning has led to valuable patents. His contributions continue to shape the future of technology and data analysis.