Author

Sizhen Li

Sanofi (France)Primary ORCID profile (0000-0001-7807-5748 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Sizhen LiiD2 papers · Oregon State University

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:sequence-to-function modeling· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:large language model· 1 Assay:long-read sequencing· 1 Assay:multiome· 1 Organism:multiple species· 1

Frequent Co-Authors

Michael BaileyiD· 3 shared Sven JägeriD· 3 shared Lorenzo Kogler-Anele· 2 shared Ruijiang LiiD· 2 shared Ziv Bar‐JosephiD· 2 shared Abhinav GuptaiD· 1 shared Akshay BalsubramaniiD· 1 shared Alejandro Corrochano-Navarro· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Michael BaileyORCID

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Author profile →

3 papers

Recent·Most cited

mRNA-GPT: A Generative Model for Full-Length mRNA Design and Optimization

Sizhen Li, Paul Chauvin, Ofek Gross, Michael Bailey, Sven Jäger

mRNA-GPT is a generative model that optimizes full-length mRNA sequences by jointly optimizing all three regions, achieving Pareto-optimal designs and outperforming existing methods.

bioRxiv · Apr 2, 2026 · PreprintBioinformatics

Active Learning for Protein Structure Prediction

Zexin Xue, Michael Bailey, Abhinav Gupta, Ruijiang Li, Alejandro Corrochano-Navarro, Sizhen Li, Lorenzo Kogler-Anele, Qian Yu, Ziv Bar‐Joseph, Sven Jäger

The paper applies a novel active learning strategy, DEW-DROP, to improve protein structure prediction efficiency and data selection for two protein datasets.

Lecture notes in computer science · Jan 1, 2025Peer-reviewedMolecular Biology

CodonBERT: Large Language Models for mRNA Design and Optimization

Sizhen Li, Saeed Moayedpour, Ruijiang Li, Michael Bailey, Saleh Riahi, Lorenzo Kogler-Anele, Milad Miladi, Jacob C. Miner, Fabien Pertuy, Dinghai Zheng, Jun Wang, Akshay Balsubramani, Khang Tran, Minnie Zacharia, Monica Wu, , Sven Jäger

CodonBERT is a large language model for mRNA design and optimization that outperforms previous methods on a flu vaccine dataset.

Genome Research · Jul 1, 2024Peer-reviewedBioinformatics