Vincent Joseph Glorioso

Title: Innovations of Vincent Joseph Glorioso

Introduction

Vincent Joseph Glorioso is an accomplished inventor based in Fairfax Station, Virginia. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing data analysis and detection methods, which are crucial in various technological applications.

Latest Patents

Vincent holds a patent for a "System and method for data drift detection." This exemplary system provides methods to extract, transform, and save features from both training and test datasets within a machine-learning model. The process involves creating feature maps for each data element in the training dataset and grouping them by unique data labels. This allows for the construction of class-conditional distributions, which are essential for analyzing data drift. The patent outlines a method for calculating distance sets between feature maps and class-conditional distributions, ultimately leading to the computation of drift test statistics. This innovative approach combines statistical measures to assess the drift between datasets effectively.

Career Highlights

Vincent is currently employed at Booz Allen Hamilton Inc., where he applies his expertise in data analysis and machine learning. His role involves developing advanced systems that enhance the capabilities of machine learning models. His contributions have been instrumental in improving data processing techniques within the organization.

Collaborations

Vincent collaborates with talented professionals such as Arash Rahnama-Moghaddam and Clayton Davis. Together, they work on projects that push the boundaries of technology and innovation in data analysis.

Conclusion

Vincent Joseph Glorioso is a notable inventor whose work in data drift detection has the potential to transform machine learning applications. His innovative patent and contributions to Booz Allen Hamilton Inc. highlight his commitment to advancing technology in meaningful ways.