Qing Li

Title: Innovations of Qing Li: Pioneering Machine Learning Solutions

Introduction

Qing Li is an accomplished inventor based in Cary, NC, who has made significant contributions to the field of machine learning. With a total of seven patents to her name, she has developed innovative systems that enhance the efficiency and effectiveness of model training. Her work is characterized by a focus on utilizing disparate and heterogeneous data sources to improve machine learning outcomes.

Latest Patents

One of her latest patents is titled "Accelerated model training from disparate and heterogeneous sources using a meta-database." This invention outlines a system for training a model using a subset of data from decentrally stored source databases. The system includes a key variable repository module that connects the databases and incorporates an AI program featuring a scanner algorithm and a profiler algorithm. The scanner algorithm compresses training data and synchronizes it with meta-data, while the profiler algorithm generates granular data types and determines training variables. This innovative approach allows for faster model training with a subset of relevant data.

Another notable patent is "Training machine learning model based on user actions and responses." This computing system is designed to create a predictive model during the training of a machine learning program. It utilizes a training data set that includes personal data from multiple users. The predictive model correlates the personal data of a second user with that of first users to generate predicted survey data and assessment scores. The system can then take actions based on the predicted data, enhancing user interaction and experience.

Career Highlights

Qing Li currently works at Truist Bank, where she applies her expertise in machine learning to develop innovative solutions. Her role involves collaborating with other professionals in the field to push the boundaries of technology and improve banking services through advanced data analysis and predictive modeling.

Collaborations

Some of her notable coworkers include Kenneth William Cluff and Peter Councill, who contribute to her projects and innovations in various capacities.

Conclusion

Qing Li's contributions to machine learning through her patents and work at Truist Bank highlight her as a leading inventor in the field. Her innovative approaches to model training and predictive analytics are paving the way for advancements in technology and data utilization.