Yuxue Jin

Title: Innovations by Yuxue Jin

Introduction

Yuxue Jin is an accomplished inventor based in Short Hills, NJ (US). He has made significant contributions to the field of Bayesian hierarchical modeling, with a total of three patents to his name. His work primarily focuses on systems and methods that enhance data analysis and modeling techniques.

Latest Patents

Yuxue Jin's latest patents include innovative systems and methods for generating a brand Bayesian hierarchical model. This patent outlines a method that involves receiving brand data sets for various brands across multiple media channels and times. It emphasizes the determination of informative priors and the generation of a brand Bayesian hierarchical model that effectively models responses for each brand.

Another notable patent is for generating a geo-level hierarchical Bayesian model. This invention includes methods for grouping geographic sub-regions into larger geographic regions and receiving data that encompasses responses, content inputs, and location identifiers. The patent details the process of fitting a Bayesian hierarchical model based on geo-level data and determining content input mixes for different geographic regions.

Career Highlights

Yuxue Jin is currently employed at Google Inc., where he continues to develop and refine his innovative ideas. His work at Google has allowed him to collaborate with other talented individuals in the field, further enhancing the impact of his inventions.

Collaborations

Some of Yuxue Jin's notable coworkers include Yunting Sun and James Robert Koehler. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Yuxue Jin is a prominent inventor whose work in Bayesian hierarchical modeling has led to significant advancements in data analysis. His contributions at Google Inc. and his innovative patents reflect his dedication to enhancing technology and improving methodologies in his field.