San Francisco, China

Haifan Wu

This inventor holds 1 USPTO granted patent. Top assignee: The United States of America, as Represented by the Secretary, Department of Health and Human Services. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haifan Wu. Retrieved from https://idiyas.com/inventor/haifan-wu-7rxrahye

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Haifan Wu - Innovator in Multi-Target Crosslinkers

Introduction

Haifan Wu is a prominent inventor based in San Francisco, China. He has made significant contributions to the field of biotechnology, particularly in the development of innovative crosslinking technologies.

Latest Patents

Haifan Wu holds a patent titled "MULTI-TARGET CROSSLINKERS AND USES THEREOF." This patent showcases his expertise in creating crosslinkers that can target multiple sites, which has potential applications in various scientific and medical fields. He has 1 patent to his name.

Career Highlights

Wu is currently affiliated with the United States of America, as represented by the Secretary, Department of Health and Human Services. His work in this esteemed organization highlights his commitment to advancing health-related technologies and research.

Collaborations

Haifan Wu collaborates with fellow researcher Bing Yang, contributing to the advancement of their shared goals in the field of biotechnology.

Conclusion

Haifan Wu's innovative work in multi-target crosslinkers exemplifies his dedication to scientific advancement and his impact on the biotechnology industry. His contributions are paving the way for future developments in health and medicine.

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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