Jieying Chen

Title: Innovator Spotlight: Jieying Chen and Her Contributions to Performance Metrics

Introduction: Jieying Chen is a notable inventor based in Sunnyvale, CA, who has made significant strides in the field of data processing and performance metrics. With a total of four patents to her name, Chen's innovations are at the forefront of enhancing system performance and reliability in monitored environments.

Latest Patents: Among her recent contributions, Chen has developed two key innovations:

1. **Statistical Detection of Site Speed Performance Anomalies** - This patent describes a sophisticated system that processes data by obtaining current windows of time-series data from monitored systems. The system continuously performs statistical hypothesis tests against historic baseline values. Upon detecting deviations from these baseline values, it alerts users of potential performance anomalies.

2. **Root Cause Investigation of Site Speed Performance Anomalies** - This invention further enhances data processing capabilities by assessing the components of a time-series performance metric related to identified anomalies. The system conducts statistical hypothesis tests on each component and provides alerts regarding the root cause of statistically significant deviations, assisting in on-the-fly troubleshooting.

Career Highlights: Jieying Chen is currently employed at Microsoft Technology Licensing, LLC, where she applies her expertise in innovations related to system monitoring and performance analytics. Her work contributes greatly to the development of tools that can improve operational efficiencies in various digital environments.

Collaborations: Throughout her career, Chen has collaborated with esteemed colleagues including Ritesh Maheshwari and Liang Zhang. These collaborations play a pivotal role in enhancing her research and patent development efforts, ensuring that her contributions are both innovative and impactful.

Conclusion: Jieying Chen exemplifies the spirit of innovation with her significant contributions in the realm of performance metrics and system efficiency. Her patents not only reflect her expertise but also highlight the importance of statistical analysis in monitoring system performance. As she continues her work at Microsoft Technology Licensing, the technological community eagerly anticipates her future innovations.