Woo Jae Jung

Title: Innovations of Woo Jae Jung

Introduction

Woo Jae Jung is an accomplished inventor based in Menlo Park, California. He has made significant contributions to the field of Bayesian regression analysis, particularly through his innovative patent. His work focuses on enhancing the efficiency and effectiveness of statistical modeling in various applications.

Latest Patents

Woo Jae Jung holds a patent for "Parallelized and distributed Bayesian regression analysis." This patent describes systems, methods, and computer program products for estimating a Bayesian hierarchical regression model using parallelized and distributed Gibbs sampling. The techniques outlined in the patent can be applied to scenarios where there is a response variable, such as the number of store visits or web page visits, alongside multiple explanatory variables like locations, temperatures, or prices. The disclosed techniques enable the construction of a model that quantifies the effects of these explanatory variables on the response variable within a distributed system. For example, the model can estimate that an increase in temperature at a specific time of year predicts a corresponding increase in store visits. This estimation process is executed in parallel across multiple nodes of the distributed system.

Career Highlights

Woo Jae Jung is currently associated with Pivotal Software, Inc., where he applies his expertise in statistical modeling and data analysis. His work at the company emphasizes the importance of innovative solutions in the realm of data science and analytics.

Collaborations

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Conclusion

Woo Jae Jung's contributions to Bayesian regression analysis exemplify the intersection of innovation and practical application in data science. His patent reflects a commitment to advancing statistical methodologies that can significantly impact various industries.