Yan Yan

Title: Yan Yan - Innovator in Automatic Labeling Technology

Introduction

Yan Yan is a notable inventor based in Jamaica Plain, MA, whose innovative work has contributed to the field of automatic labeling technologies. With a solid understanding of machine learning and data analysis, Yan has developed a method that enhances the efficiency and accuracy of label assignments.

Latest Patents

Yan holds a patent entitled "Automatic labeler assignment using a model built from multi-labeler data." This patent presents a novel method that encompasses several steps: it begins with receiving multi-labeler data containing labeled data points from various labelers. The process then involves building a model from this data, which consists of input variables corresponding to the data points and label variables representing true labels assigned by the labelers. The model is designed to be executed upon receiving new data points, allowing for the determination of labelers' expertise levels based on the new data. This innovative approach enhances the performance of labeling systems and ensures that the most skilled labelers are aligned with particular tasks.

Career Highlights

Yan is currently employed at Siemens Medical Solutions USA, Inc., a renowned company specializing in advanced medical technology solutions. Her role involves working on projects that leverage her expertise in data modeling and labeling systems, which are crucial in improving medical data management and analysis.

Collaborations

Throughout her career, Yan has collaborated with various professionals, including notable colleagues such as Glenn Fung and Romer E Rosales. These collaborations have allowed her to gain diverse insights and foster innovation within her work environment.

Conclusion

Yan Yan's contributions to the field of automatic labeling through her innovative patent exemplify the impact of modern technology on efficiency and accuracy in data management tasks. Her work at Siemens Medical Solutions USA, Inc. and her collaborative efforts with esteemed colleagues highlight her dedication to advancing technology in the medical field, marking her as a prominent figure in her domain.