This inventor holds 4 USPTO granted patents. Top assignees: Nvidia Corporation, Oath Inc., William Marsh Rice University. Active years: 2020-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Santa Clara, CA (US) (2020)
- Houston, TX (US) (2023)
Company Filing History:



Years Active: 2020-2026
Title: Yan He - Innovator in Outlier Data Detection
Introduction
Yan He is a notable inventor based in Santa Clara, CA (US). He has made significant contributions to the field of data analysis, particularly in the detection of outliers in online experimentation. His innovative approach addresses a common challenge faced by researchers and product developers.
Latest Patents
Yan He holds a patent for a procedure designed to detect and remove outliers from experimental results. This patent, titled "Outlier Data Detection," focuses on the complexities that outliers introduce in analyzing the effects of new features on user engagement. The procedure utilizes statistical tests based on parametric distributions of sample maximum or minimum. These tests can be executed through an inward testing procedure to identify multiple outliers effectively. The filtered test results can then be employed to control the delivery of new features in online products.
Career Highlights
Yan He is currently employed at Oath Inc., where he continues to develop innovative solutions in data analysis. His work has been instrumental in enhancing the accuracy of experimental results, thereby improving user engagement strategies for online products.
Collaborations
Yan collaborates with talented individuals such as Miao Chen and Maria Stone, who contribute to the innovative environment at Oath Inc. Their teamwork fosters creativity and drives advancements in their respective fields.
Conclusion
Yan He's contributions to outlier data detection represent a significant advancement in the field of data analysis. His innovative procedures not only enhance the accuracy of experimental results but also improve the overall effectiveness of online product features.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile