Joseph L Breeden

Title: Joseph L. Breeden: Innovator in Computing Methods

Introduction

Joseph L. Breeden is a notable inventor based in Santa Fe, NM (US), recognized for his contributions to classical and quantum computing methods. He holds a total of six patents, showcasing his innovative approach to addressing complex problems in finance and data analysis.

Latest Patents

Breeden's latest patents include "Classical and quantum computing methods for pricing for account-level uncertainty." This invention discloses a Monte Carlo simulation designed to propagate model estimates and macroeconomic uncertainties through the calculation of lifetime loss or yield. It aims to adjust loan pricing based on the uncertainty in yield, utilizing either classical or quantum computing. Another significant patent is the "Computer implemented method for estimating age-period-cohort models on account-level data." This invention provides a method for calculating loan-level models using age, period, and cohort functions. It processes one observation per account per time period with a uniquely structured set of basis functions, allowing for estimation with Generalized Linear Models (GLM) or Generalized Linear Mixed Models (GLMM). The model can be used for account-level forecasting or stress testing, enhancing the understanding of performance variables.

Career Highlights

Throughout his career, Breeden has worked with various companies, including Strategic Analytics, Inc. and Deep Future Analytics, LLC. His work has significantly impacted the fields of finance and data analytics, particularly in developing methods that leverage advanced computing techniques.

Collaborations

Breeden has collaborated with notable individuals in his field, including R David Franklin and Anthony J Giancola. These collaborations have contributed to the advancement of his innovative projects and patents.

Conclusion

Joseph L. Breeden stands out as an influential inventor in the realm of computing methods, particularly in finance. His patents reflect a deep understanding of both classical and quantum computing, paving the way for future innovations in the industry.