Potomac, MD, United States of America

Jun Li


Average Co-Inventor Count = 5.8

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Jun Li: Innovator in Data Systems and Property Evaluation

Introduction

Jun Li is a notable inventor based in Potomac, MD (US), recognized for his contributions to data systems and property evaluation technologies. With a total of 2 patents, he has developed innovative solutions that enhance the way properties are compared and evaluated.

Latest Patents

Jun Li's latest patents include "Systems and methods of generating and transforming data sets for entity comparison." This invention describes an automated system that determines similarities between properties at a location using customized feature sets. The system generates feature sets from property attribute data received from various sources and applies machine learning algorithms to calculate similarity scores between properties.

Another significant patent is "Systems and methods of generating feature sets for entity evaluation." This invention focuses on determining rental income and location quality for geographic regions through customized data sets. The system generates location feature sets that combine aspects of multiple items into hybrid features, which are then used in machine learning models to predict rental property income and assess location quality.

Career Highlights

Jun Li is currently employed at the Federal Home Loan Mortgage Corporation, commonly known as Freddie Mac. His work involves leveraging his patented technologies to improve property evaluation processes and enhance decision-making in the real estate sector.

Collaborations

Jun Li collaborates with esteemed colleagues, including Steven Guggenmos and Jae-kyun Patrick Chu, contributing to innovative projects that push the boundaries of data analysis in real estate.

Conclusion

Jun Li's innovative patents and career at Freddie Mac highlight his significant impact on data systems and property evaluation. His work continues to shape the future of real estate technology through advanced data analysis and machine learning applications.

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