Seattle, WA, United States of America

Connie Qin Yang

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.9

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Connie Qin Yang: Innovator in Computing Technologies

Introduction

Connie Qin Yang is a prominent inventor based in Seattle, WA (US). She has made significant contributions to the field of computing technologies, holding a total of 3 patents. Her work focuses on enhancing user experience and predicting software quality metrics through innovative systems and methods.

Latest Patents

One of her latest patents is titled "Using propensity score matching to determine metric of interest for unsampled computing devices." This patent discloses a system that leverages telemetry data from sampled computing devices to infer the quality of user experience on unsampled devices. The system utilizes a propensity score matching approach to identify the best representative sampled device, allowing for accurate predictions of user experience metrics.

Another notable patent is "Feature deployment readiness prediction." This invention involves generating a predicted quality metric by analyzing telemetry data from different groups of devices. By identifying covariates that impact quality metrics, the system can perform a coarsened exact matching process to predict software quality based on telemetry data from a second group of devices.

Career Highlights

Connie is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate and develop new technologies. Her work has been instrumental in advancing the understanding of user experience and software performance.

Collaborations

Throughout her career, Connie has collaborated with talented individuals such as Xiaoyu Chai and Matthew Scott Rosoff. These collaborations have contributed to her success and the development of her innovative patents.

Conclusion

Connie Qin Yang is a remarkable inventor whose work in computing technologies has led to significant advancements in user experience and software quality prediction. Her contributions continue to shape the future of technology and innovation.

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