This inventor holds 2 USPTO granted patents. Top assignee: Optum, Inc.. Active years: 2022-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2024
Title: Innovations by Zachary Babcock
Introduction
Zachary Babcock is an accomplished inventor based in Elk River, MN (US). He has made significant contributions to the field of anomaly detection through his innovative patents. With a total of 2 patents, Babcock is recognized for his work in developing effective solutions for complex problems.
Latest Patents
One of Zachary Babcock's latest patents focuses on graph convolutional anomaly detection. This invention addresses the need for more effective and efficient anomaly detection methods. The patent outlines a method that includes identifying related graph database input data associated with a predictive entity. It also involves generating related graph feature data for the predictive entity and using a graph convolutional neural network model to generate an anomaly detection score. The model is trained using confirmation feedback data, which is integrated into the anomaly detection process.
Career Highlights
Zachary Babcock is currently employed at Optum, Inc., where he applies his expertise in anomaly detection. His work contributes to advancements in the field, enhancing the capabilities of data analysis and predictive modeling.
Collaborations
Zachary collaborates with talented individuals such as Gerald Liu and Devin Uner, who contribute to his innovative projects and research efforts.
Conclusion
Zachary Babcock's contributions to the field of anomaly detection through his patents demonstrate his commitment to innovation and problem-solving. His work at Optum, Inc. and collaborations with colleagues further highlight his impact in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
