Yan Gao

Title: Yan Gao - Innovator in Automated Machine Learning Testing

Introduction

Yan Gao is a prominent inventor based in Cary, NC, who has made significant contributions to the field of automated machine learning testing. With a total of four patents to her name, she has developed innovative solutions that enhance the efficiency and effectiveness of software testing processes.

Latest Patents

One of Yan Gao's latest patents is an automated machine learning test system. This system involves a computing device that selects new test configurations for testing software. The process begins with generating first test configurations using a random seed value. The software under test is executed with these configurations to generate test results. Subsequently, second test configurations are generated based on the first configurations and their corresponding test results. The software is then executed again with these second configurations. If a restart is triggered based on a distance metric value, a new random seed value is selected, and the process is repeated. This cycle continues until a stop criterion is satisfied, at which point the test results for each configuration are output.

Career Highlights

Yan Gao is currently employed at SAS Institute Inc., where she applies her expertise in software testing and machine learning. Her work focuses on developing systems that streamline the testing process, making it more efficient and reliable.

Collaborations

Throughout her career, Yan has collaborated with notable colleagues, including Joshua David Griffin and Steven Joseph Gardner. These collaborations have contributed to her innovative approaches in the field of automated testing.

Conclusion

Yan Gao is a trailblazer in the realm of automated machine learning testing, with her patents reflecting her commitment to advancing technology. Her work at SAS Institute Inc. and collaborations with esteemed colleagues further underscore her impact on the industry.