Author

Jessica Lin

Czech Technical University in Prague

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Biology Disciplines

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Bioengineering· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Andrew Jung· 1 shared Bo WangiD· 1 shared Cyrus L. TamiD· 1 shared Defne Ceyhan· 1 shared Divya Koyyalagunta· 1 shared Gina El NesriD· 1 shared Ilyes BaaliiD· 1 shared Irimpan I. MathewsiD· 1 shared

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2025-2025 · peak 2/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Andrew Jung

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2 papers

Recent·Most cited

Isolation of structural constraints by ensemble-conditioned protein sequence design

Richard W. Shuai, Ling Zhou, Gina El Nesr, Jessica Lin, Tianyu Lu, Irimpan I. Mathews, Subhang Bhatti, Justine Yuan, Petr Kouba, Po‐Ssu Huang

This paper introduces Caliby, a sequence design method that conditions on structural ensembles to improve designability while reducing native sequence recovery.

bioRxiv · Sep 30, 2025 · PreprintBioengineering

mRNABench: A curated benchmark for mature mRNA property and function prediction

Ruian Shi, Taykhoom Dalal, Philip Fradkin, Divya Koyyalagunta, Simran Chhabria, Andrew Jung, Cyrus L. Tam, Defne Ceyhan, Jessica Lin, Kaitlin U. Laverty, Ilyes Baali, Bo Wang, Quaid Morris

The paper introduces mRNABench, a benchmark for evaluating mRNA property and function prediction models using self-supervised learning.

bioRxiv · Jul 5, 2025 · PreprintGenomics