Hamburg, NJ, United States of America

Lei Carol Liang

This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lei Carol Liang. Retrieved from https://idiyas.com/inventor/lei-carol-liang

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Lei Carol Liang: Innovator in Machine Learning and Optimization

Introduction

Lei Carol Liang is an accomplished inventor based in Hamburg, NJ (US). She has made significant contributions to the fields of machine learning and optimization, holding a total of 2 patents. Her work focuses on developing innovative systems and methods that enhance the efficiency and fairness of machine learning applications.

Latest Patents

Lei Carol Liang's latest patents include a "System and method for fairness aware optimization with features quantization." This patent discloses various methods and processes for performing fairness-aware optimization. The present disclosure provides a framework for acquiring and quantizing a plurality of input features for an application. It involves binning each of the input features so that they are assigned to a bin among a plurality of bins, creating a matrix of bin membership for each application. A vector is generated based on this matrix to evaluate against a target value and assess the presence of disparity in outcomes for a protected input feature. Once a coefficient vector that optimizes output while negating any disparity is identified, the optimization model is updated for subsequent processing.

Another notable patent is the "Method and system for developing a machine learning model." This framework facilitates the easy development of machine learning solutions by connecting data sources at all scale levels. It assesses data schema, data risk, and data quality status, performs scalable feature engineering and transformation, and automates machine learning model optimization. Additionally, it includes functionalities for generating production code and automatic model documentation.

Career Highlights

Lei Carol Liang is currently employed at JPMorgan Chase Bank, N.A., where she applies her expertise in machine learning and optimization. Her innovative approaches have contributed to the advancement of technology within the financial sector.

Collaborations

Lei has collaborated with notable colleagues, including Yicheng Pu and Drew Afromsky, who have also contributed to her projects and innovations.

Conclusion

In summary, Lei Carol Liang is a pioneering inventor whose work in machine learning and optimization is shaping the future of technology. Her patents reflect her commitment to enhancing fairness and efficiency in machine learning applications.

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]
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