Edward Gorman

Title: The Innovative Contributions of Edward Gorman

Introduction

Edward Gorman is a notable inventor based in York, Pennsylvania. He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on optimizing predictive models by programmatically weighting disparate inputs, which has implications for various industries.

Latest Patents

Edward Gorman holds a patent titled "Systems and methods for programmatically weighting disparate inputs to optimize a predictive model." This patent provides systems and methods for programmatically weighting disparate inputs to enhance the accuracy of predictive models. The predictive model generates component weighted values associated with each input, facilitating the combination of these inputs. An aggregated weighted value is then produced from the combined component weighted values. This process allows for the generation of aggregated weighted values for multiple input sets, each scored relative to the others. In some embodiments, the predictive model and its associated engine can be packaged for execution on a local terminal.

Career Highlights

Edward Gorman is currently employed at Assurant, Inc., where he applies his expertise in predictive modeling. His work at Assurant has allowed him to contribute to advancements in the field, leveraging his innovative ideas to improve predictive analytics.

Collaborations

Edward has collaborated with notable colleagues, including Manuel Becerra and David Glenn McMillan. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas.

Conclusion

Edward Gorman's contributions to predictive modeling through his patent demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the field and showcases the importance of optimizing predictive models for various applications.