Shanghai, China

Xiaojie Shi

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignees: Shanghai Xiaochongyoucang Tech Co., Ltd, Shanghaitech University. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaojie Shi. Retrieved from https://idiyas.com/inventor/xiaojie-shi-1vxdbplb

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 = 1.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Xiaojie Shi

Introduction

Xiaojie Shi is a prominent inventor based in Shanghai, China. She has made significant contributions to the field of biotechnology, particularly in the development of innovative antibodies and robotic technologies. With a total of 2 patents, her work has garnered attention in both academic and industrial circles.

Latest Patents

Among her latest patents are "Anti-CXCR2 Antibodies and Uses Thereof" and a "Robot Cleaning Module." These inventions showcase her expertise in creating solutions that address both medical and practical challenges in everyday life.

Career Highlights

Xiaojie Shi has worked with notable organizations such as Shanghai Xiaochongyoucang Technology Co., Ltd and ShanghaiTech University. Her experience in these institutions has allowed her to collaborate with leading experts in her field and contribute to groundbreaking research.

Collaborations

Some of her notable coworkers include Guang Yang and Richard Lerner. Their collaborative efforts have further advanced the research and development of innovative technologies.

Conclusion

Xiaojie Shi's contributions to innovation and invention highlight her role as a leading figure in biotechnology and robotics. Her patents reflect her commitment to advancing technology for the betterment of society.

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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