Justin Matthew Moynihan

Title: Justin Matthew Moynihan: Innovator in Predictive Targeting Technology

Introduction

Justin Matthew Moynihan is an accomplished inventor based in Rochester, NY (US). He has made significant contributions to the field of predictive targeting technology, particularly through his innovative patent. His work focuses on enhancing the capabilities of transformers in predicting user behavior based on web browsing history.

Latest Patents

Moynihan holds a patent for "Transformers adapted for predictive targeting based on web browsing history." This patent describes computer-implemented methods and memory systems that store code designed to be executed by a processor. The method involves training a first transformer with a variety of website visitation records to predict a missing website in a sequence of websites. The first transformer includes a foundation model and a first prediction head. Additionally, a second transformer model is trained with conversion event data to predict the probability of a conversion event occurring, incorporating a foundation model and a second prediction head.

Career Highlights

Justin is currently employed at Dstillery, Inc., where he applies his expertise in predictive analytics and machine learning. His innovative approach has positioned him as a key player in the development of advanced targeting technologies.

Collaborations

Moynihan collaborates with talented professionals in his field, including Amelia Grieve White and Christopher Allen Jenness. Their combined efforts contribute to the advancement of technology in predictive targeting.

Conclusion

Justin Matthew Moynihan is a notable inventor whose work in predictive targeting technology is paving the way for future innovations. His contributions are significant in the realm of machine learning and user behavior prediction.