Belmont, CA, United States of America

Kai Liu

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Genentech, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kai Liu. Retrieved from https://idiyas.com/inventor/kai-liu-lw92xhcz

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kai Liu and Patent Innovation in Peptide Immunogenicity.

Introduction

Kai Liu is an inventor based in Belmont, California, and works at Genentech, Inc. His patent work addresses the use of neural networks to predict peptide immunogenicity, a capability relevant to identifying candidate neoantigens.

Latest Patents

Liu is associated with 1 patent, titled “Using Neural Networks to Predict Peptide Immunogenicity.” The patent describes methods, systems, compositions, and computer program products for identifying candidate neoantigens with immunogenic properties.

In one described method, candidate peptide sequences that meet a preset major histocompatibility complex (MHC) presentation-score criterion are evaluated alongside their corresponding MHC peptide sequences. Representations of these sequences are processed into immunogenicity input vectors, which an immunogenicity model uses to predict whether each candidate peptide is immunogenic. The resulting predictions are then returned as an output.

Career Highlights

Liu’s listed professional affiliation is Genentech, Inc. His patent reflects work at the intersection of computational modeling and immunological research.

Collaborations

The listed coworkers associated with Liu include Milad Salem and William John Thrift.

Conclusion

Kai Liu’s patent focuses on applying neural networks to predict peptide immunogenicity and support the identification of candidate neoantigens.

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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