Ryan Humble

Title: Ryan Humble: Innovator in Anomaly Detection

Introduction

Ryan Humble is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of anomaly detection, particularly in multi-modal data streams. His innovative approach has the potential to enhance the accuracy and efficiency of data analysis across various applications.

Latest Patents

Ryan Humble holds a patent for "Systems and methods for anomaly detection in multi-modal data streams." This patent outlines a method for detecting anomalies by receiving data streams from multiple sensors, identifying anomalies within those streams, and determining joint anomalies based on a defined threshold. This innovative system allows for improved detection and analysis of anomalies, which can be crucial in various technological and industrial applications. He has 1 patent to his name.

Career Highlights

Ryan is currently affiliated with Leland Stanford Junior University, where he continues to advance his research and development in the field of data analysis. His work is characterized by a commitment to innovation and a focus on practical applications of his inventions.

Collaborations

Ryan collaborates with notable colleagues, including Daniel Ratner and Eric Felix Darve. Their combined expertise contributes to the advancement of research in anomaly detection and related fields.

Conclusion

Ryan Humble is a notable inventor whose work in anomaly detection is paving the way for advancements in data analysis. His contributions are significant in enhancing the understanding and identification of anomalies in complex data streams.