Forest Hills, NY, United States of America

David Chienju Li

This inventor holds 1 USPTO granted patent. Top assignee: Ge Corporate Financial Services, Inc.. Active years: 2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Chienju Li. Retrieved from https://idiyas.com/inventor/david-chienju-li

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2012

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of David Chienju Li

Introduction

David Chienju Li is an accomplished inventor based in Forest Hills, NY. He has made significant contributions to the field of financial data analysis through his innovative patent. His work focuses on optimizing transition probability matrices, which are crucial for predicting credit rating migrations.

Latest Patents

David holds a patent for "Methods and systems for generating transition probability matrices through an optimization framework." This patent describes a method for generating an optimized transition probability matrix (OTPM) using a computer system connected to a database. The process involves storing financial data, generating multi-period empirical transition probability matrices (ETPMs), and calculating the OTPM to predict the likelihood of credit rating changes.

Career Highlights

David is currently employed at Ge Corporate Financial Services, Inc., where he applies his expertise in financial data optimization. His innovative approach has the potential to enhance the accuracy of credit risk assessments, benefiting financial institutions and investors alike.

Collaborations

David has worked alongside talented colleagues such as Sean Coleman Keenan and Vishwanath Avasarala. Their collaborative efforts contribute to the advancement of financial technologies and methodologies.

Conclusion

David Chienju Li's work exemplifies the intersection of innovation and finance, showcasing how technology can improve credit risk analysis. His contributions are valuable to the financial sector and demonstrate the importance of optimizing data-driven methodologies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…