Marina Chilingaryan

Title: Innovations by Marina Chilingaryan

Introduction

Marina Chilingaryan is an accomplished inventor based in Berkeley, CA. She has made significant contributions to the field of machine learning and organizational behavior. With a total of 2 patents, her work focuses on predicting problematic actions within organizations and enhancing document clustering methods.

Latest Patents

One of her latest patents is titled "Method of using machine learning to predict problematic actions within an organization." This innovative method involves accessing stored employee-related data, such as emails and surveys, to identify patterns that may indicate adverse relations among employees or the likelihood of an employee resigning. Another notable patent is "Recursive agglomerative clustering of time-structured communications." This method improves document clustering by representing documents as vectors and partitioning them into clusters based on frequency-based metrics.

Career Highlights

Marina currently works at Yva.ai, Inc., where she applies her expertise in machine learning to develop solutions that enhance organizational efficiency. Her innovative approaches have garnered attention in the tech community, showcasing her ability to merge technology with practical applications.

Collaborations

Some of her notable coworkers include David Yan and Victor Kuznetsov, who contribute to the collaborative environment at Yva.ai, Inc. Their combined efforts foster a culture of innovation and creativity.

Conclusion

Marina Chilingaryan's work exemplifies the intersection of technology and organizational behavior. Her patents reflect a commitment to improving workplace dynamics through innovative solutions.