Company Filing History:
Years Active: 2023-2025
Title: Matthew R. Versaggi: Innovator in AI and Quantum Computing
Introduction
Matthew R. Versaggi is a notable inventor based in Plymouth, MN (US). He has made significant contributions to the fields of artificial intelligence and quantum computing. With a total of 3 patents, his work focuses on innovative methods for data routing and health-related predictive analysis.
Latest Patents
One of his latest patents is titled "System and method for using an artificial intelligence (AI) model to route data." This invention discloses a method that includes receiving a data request associated with one or more data gaps. It involves determining, by an AI model, a plurality of ranking values for candidate data sources based on various attributes. The method routes the data request to the most suitable candidate data source while blocking less relevant options.
Another significant patent is "Quantum computing techniques for determining gene predictors in gene regulatory networks." This invention provides methods and systems for performing health-related predictive data analysis. It utilizes quantum logic circuits to generate an optimal predictor set for a gene regulatory network, enhancing the accuracy of health predictions.
Career Highlights
Matthew has worked with prominent companies such as Optum, Inc. and Optum Services (Ireland) Limited. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in healthcare technology.
Collaborations
Throughout his career, Matthew has collaborated with talented individuals, including Ninad D. Sathaye and Paul J. Godden. These partnerships have fostered a creative environment that has led to groundbreaking inventions.
Conclusion
Matthew R. Versaggi is a distinguished inventor whose work in artificial intelligence and quantum computing continues to impact various industries. His innovative patents and collaborations highlight his commitment to advancing technology for better data analysis and health predictions.