This inventor holds 1 USPTO granted patent. Top assignee: Massachusetts Mutual Life Insurance Company. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations of Matthew Wolf in Predictive Modeling
Introduction
Matthew Wolf is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on the integration of artificial intelligence models to enhance predictive capabilities in various applications.
Latest Patents
Matthew holds a patent for "Systems and methods for predictive modeling." This patent discusses methods and systems for an interdependent series of AI models. In one embodiment, a processor receives projection assumption inputs from a user device and executes a population builder machine learning model to predict a dynamic adjustment table. It applies the model to population data to generate a value population file, which simulates a subset of the population based on the predicted table. The file contains value cells representing instances of a product. The device then runs a mortality machine learning model to determine mortality data for the product using the simulated population. Finally, it executes a flow projection model to generate a projection report for the product, incorporating mortality data and projection assumptions. Matthew has 1 patent to his name.
Career Highlights
Matthew is currently employed at Massachusetts Mutual Life Insurance Company, where he applies his expertise in predictive modeling. His role involves leveraging advanced machine learning techniques to improve the accuracy of projections and analyses within the company.
Collaborations
Matthew collaborates with talented coworkers, including Julia Romero and Mark Sayre. Their combined efforts contribute to the innovative projects at Massachusetts Mutual Life Insurance Company.
Conclusion
Matthew Wolf's contributions to predictive modeling through his patent demonstrate his commitment to advancing technology in the field. His work not only enhances the capabilities of AI models but also provides valuable insights for various applications.